Recent publications

Recent Publications (since 2012)

Note: the researchers’ personal web page may contain more recent publications.
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Masoud Asgharian (McGill University)
Juli Atherton (UQAM)
Cédric Beaulac (Université du Québec à Montréal)
Mylène Bédard (Université de Montréal)
Yoshua Bengio (Université de Montréal)
Sahir R. Bhatnagar (McGill University)
Taoufik Bouezmarni (Université de Sherbrooke)
Alexandre Bureau (Université Laval)
Félix Camirand Lemyre (Université de Sherbrooke)
Anne-Sophie Charest (Université Laval)
Yogendra P. Chaubey (Concordia University)
Fateh Chebana (INRS)
Ting-Huei Chen (Université Laval)
Jean-François Coeurjolly (Université Grenoble Alpes)
Marie-Hélène Descary (UQAM)
Pierre Duchesne (Université de Montréal)
Thierry Duchesne (Université Laval)
Debbie J. Dupuis (HEC Montréal)
Sorana Froda (Université du Québec à Montréal)
Christian Genest (McGill University)
Celia M. T. Greenwood (Lady Davis Institute for Medical Research)
David Haziza (University of Ottawa)
Klaus Herrmann (Université de Sherbrooke)
Khader Khadraoui (Université Laval)
Abbas Khalili (McGill University)
Aurélie Labbe (HEC Montréal)
Lajmi Lakhal Chaieb (Université Laval)
Fabrice Larribe (UQÀM)
Geneviève Lefebvre (Université du Québec à Montréal (UQAM))
Christian Léger (Université de Montréal)
Éric Marchand (Université de Sherbrooke)
Erica E. M. Moodie (McGill University)
Alejandro Murua (Université de Montréal)
Bouchra Nasri (École de santé publique de l’Université de Montréal)
Johanna Nešlehová (McGill University)
Karim Oualkacha (Université du Québec à Montréal)
François Perron (Université de Montréal)
Robert W. Platt (McGill University)
Bruno Rémillard (HEC Montréal)
Louis-Paul Rivest (Université Laval)
Alexandra M. Schmidt (McGill University)
Mireille Schnitzer (Université de Montréal)
Juliana Schulz (HEC Montréal)
Arusharka Sen (Concordia University)
Russell Steele (McGill University)
David A. Stephens (McGill University)
Denis Talbot (Université Laval)
Audrey-Anne Vallée (Université Laval)
Archer (Yi) Yang (McGill University)

Lab Postdocs

Fréderic Ouimet (Université de Montréal)

Masoud Asgharian

Book chapters:

Asgharian, M., Wolfson, C., Wolfson, D. B., « Analysis of biased survival data: The Canadian Study of Health and Aging and beyond », in Statistics in Action: A Candian Outlook, J. F. Lawless, éd., Boca Raton, FL, CRC Press, 2014.

Peer-reviewed journal articles:

Ertefaie, A., Asgharian, M., Stephens, D. A., « Variable selection in causal inference using a simultaneous penalization method », Journal of Causal Inference, 6:1 (mars 2018), 20170010.
Rabhi, Y., Asgharian, M., « Inference under biased sampling and right censoring for a change point in the hazard function », Bernoulli, 23:4A (novembre 2017), 2720–2745.
Shohoudi, A., Khalili, A., Wolfson, D. B., Asgharian, M., « Simultaneous variable selection and de-coarsening in multi-path change-point models », Journal of Multivariate Analysis, 147 (mai 2016), 202–217.
Ertefaie, A., Asgharian, M., Stephens, D. A., « Double bias: Estimation of causal effects from length-biased samples in the presence of confounding », The International Journal of Biostatistics, 11:1 (mai 2015), 69–89.
Davtalab Olyaie, M., Roshdi, I., Partovi Nia, V., Asgharian, M., « On characterizing full dimensional weak facets in DEA with variable returns to scale technology », Optimization, 64:11 (2015), 2455–2476.
Khodabakhshi, M., Rashidi, S., Asgharian, M., Neralic, L., « Sensitivity analysis of input relaxation super efficiency measure in data envelopment analysis », Data Envelopment Analysis Journal, 1:2 (2015), 113–134.
Davtalab-Olyaie, M., Roshdi, I., Partovi Nia, V., Asgharian, M., « On characterizing full dimensional weak facets in DEA with variable returns to scale technology », Optimization, 64:11 (2015), 2455–2476.
Ertefaie, A., Asgharian, M., Stephens, D. A., « Propensity score estimation in the presence of length-biased sampling: A nonparametric adjustement approach », Statistics in Medicine, 3:1 (mars 2014), 83–94.
Davtalab Olyaie, M., Roshdi, I., Jahanshahloo, G., Asgharian, M., « Characterizing and finding full dimensional efficient facets in DEA: a variable returns to scale », Journal of the Operational Research Society, 65:9 (mars 2014), 1453–1464.
Asgharian, M., « On the singularities of the information matrix and multipath change-point problems », Theory of Probability & Its Applications, 58:4 (2014), 546–561.
Ertefaie, A., Asgharian, M., Stephens, D. A., « The propensity score estimation in the presence of lenght-biased sampling: A nonparametric adjustment approach », Stat, 3:1 (2014), 83–94.
Carone, M., Asgharian, M., Jewell, N. P., « Estimating the lifetime risk of dementia in the Canadian elderly population using cross-sectional cohort survival data », Journal of the American Statistical Association, 109:505 (2014), 24–35.
Ghadimi, E., Hazel, A. L., Marelli, B., Nazhat, S. N., Asgharian, M., Vali, H., Tamimi, F., « Trace elements can influence the physical properties of tooth enamel », Springer Plus, 2:10 (octobre 2013), 499,12 p.
Ning, J., Qin, J., Asgharian, M., Shen, Y., « Empirical likelihood-based confidence intervals for length-biased data », Statistics in Medicine, 32:13 (juin 2013), 2278–2291.
Carone, M., Asgharian, M., Wang, M.-C., « Nonparametric incidence estimation from prevalent cohort survival data », Biometrika, 99:3 (juillet 2012), 599–613.
Asgharian, M., Carone, M., Fakoor, V., « Large-sample study of the kernel density estimators under multiplicative censoring », The Annals of Statistics, 40:1 (2012), 159–187.

Juli Atherton

Peer-reviewed journal articles:

Talbot, D., Rossi, A. M., Bacon, S., Atherton, J., Lefebvre, G., « A graphical perspective of marginal structural models: An application for the estimation of the effect of physical activity on blood pressure », Statistical Methods in Medical Research, 27:8 (2018), 2428–2436.
Talbot, D., Lefebvre, G., Atherton, J., « The Bayesian causal effect estimation algorithm », Journal of Causal Inference, 3:2 (septembre 2015), 207–236.
Talbot, D., Atherton, J., Lefebvre, G., Rossi, A. M., Bacon, S., « Authors’ reply to comments on “A cautionary note concerning the use of stabilized weights in marginal structural models” », Statistics in Medicine, 34:18 (août 2015), 2676–2677.
Talbot, D., Atherton, J., Rossi, A. M., Bacon, S., Lefebvre, G., « A cautionary note concerning the use of stabilized weights in marginal structural models », Statistics in Medicine, 34:5 (février 2015), 812–823.
Bhatnagar, S., Atherton, J., Benedetti, A., « Comparing alternating logistic regressions to other approaches to modelling correlated binary data », Journal of Statistical Computation and Simulation, 85:10 (octobre 2014), 1–13.
Lefebvre, G., Atherton, J., Talbot, D., « The effect of the prior distribution in the Bayesian adjustement for confounding algorithm », Computational Statistics & Data Analysis, 70 (février 2014), 227–240.
Benetti, A., Platt, R. W., Atherton, J., « Generalized Linear Mixed Models for Binary Data: Are Matching Results from Penalized Quasi-Likelihood and Numerical Integration Less Biased? », PLoS One, 9:1 (janvier 2014), e84601,11 p.
Atherton, J., Boley, N., Brown, B., Ogawa, N., Davidson, S. M., Eisen, M. B., Biggin, M. D., Bickel, P. J., « A model for sequential evolution of ligands by exponential enrichment (SELEX) data », The Annals of Applied Statistics, 6:3 (août 2012), 928–949.
Addona, V., Atherton, J., Wolfson, D. B., « Testing the assumptions for the anlysis of survival data arising from a prevalent cohort study with follow-up », The International Journal of Biostatistics, 8:1, Art.22 (juillet 2012), 18 p.

Other journal articles:

Labbe, A., Liu, A., Atherton, J., Gizenko, N., Fortin, M.-È., Sengupta, S. M., Ridha, J., « Refining psychiatric phenotypes for response to treatment: Contribution of LPHN3 in ADHD », American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 159B:7 (octobre 2012), 776–785.

Cédric Beaulac

Peer-reviewed journal articles:

Beaulac, C., Larribe, F., « Narrow artificial intelligence with machine learning for real time estimation of a mobile agent’s location using Hidden Markov Models », International Journal of Computer Games Technology, 2017 (2017), 4939261, 10 p.

Mylène Bédard

Peer-reviewed journal articles:

Zanella, G., Bédard, M., Kendall, W. S., « A Dirichlet form approach to MCMC optimal scaling », Stochastic Processes and their Applications, 127:12 (décembre 2017), 4053–4082.
Bédard, M., « Hierarchical models: local proposal variances for RWM-within-Gibbs and MALA-within-Gibbs », Computational Statistics & Data Analysis, 109 (mai 2017), 231–246.
Fraser, D. A. S., Bédard, M., Wong, A., Lin, W., Fraser, A., « Bayes, reproducibility and the quest for truth », Statistical Science, 31:4 (2016), 578–590.
Bégin, J.-F., Bédard, M., Gaillardetz, P., « Simulating from the Heston model: A gamma approximation scheme », Monte Carlo Methods and Applications, 21:3 (septembre 2015), 205–231.
Bédard, M., Douc, R., Moulines, E., « Scaling analysis of delayed rejection MCMC methods », Methodology & Computing in Applied Probability, 16:4 (décembre 2014), 811–838.
Bédard, M., Mireuta, M., « On the empirical efficiency of local MCMC algorithms with pools of proposals », The Canadian Journal of Statistics / La revue canadienne de statistique, 41:4 (décembre 2013), 657–678.
Bédard, M., Douc, R., Moulines, E., « Scaling analysis of multiple-try MCMC methods », Stochastic Processes and their Applications, 122:3 (mars 2012), 758–786.

Yoshua Bengio

Monographs and books:

Goodfellow, I., Bengio, Y., Courville, A., Deep Learning, Adaptive Computation and Machine Learning Series, Cambridge, MA, MIT Press, 2016.

Book chapters:

Bengio, Y., Courville, A., « Deep learning of representations », in Handbook on Neural Information Processing, M. Bianchini, M. Maggini, L. C. Jain, éd., Intelligent Systems Reference Library, Vol. 49, Heidelberg, Springer, 2013.
Bengio, Y., « Evolving culture versus local minima », in Growing Adaptive Machines, T. Kowaliw, N. Bredeche, R. Doursat, éd., Studies in Computational Intelligence Vol. 557, Springer, 2013.
Bengio, Y., « Practical recommendations for gradient-based trining of deep architectures », in Neural Networks: Tricks of the Trade, G. Montavon, G. B. Orr, K.-R. Müller, éd., Lecture Notes in Computer Science, Vol. 7700, Berlin, Springer, 2012.

Peer-reviewed journal articles:

Gülçehre, Ç., Chandar, S., Cho, K., Bengio, Y., « Dynamic neural Turing machine with continuous and discrete addressing schemes », Neural Computation, 30:4 (avril 2018), 857–884. Deep Reinforcement Learning: Frontiers and Challenges — IJCAI 2016 (New York, 2016)
Bengio, Y., Mesnard, T., Fischer, A., Zhang, S., Wu, Y., « STDP-compatible approximation of backpropagation in an energy-based model », Neural Computation, 29:3 (mars 2017), 555–577.
Zhang, X.-Y., Bengio, Y., Liu, C.-L., « Online and offline handwritten Chinese character recognition: A comprehensive study and new benchmark », Pattern Recognition, 61 (janvier 2017), 348–360.
Hubara, I., Courbariaux, M., Soudry, D., El-Yaniv, R., Bengio, Y., « Quantized neural networks: training neural networks with low precision weights and activations », Journal of Machine Learning Research, 18 (2017), 187, 30 p.
Alain, G., Bengio, Y., Yao, L., Yosinski, J., Thibodeau-Laufer, E., Zhang, S., Vincent, P., « GSNs: Generative stochastic networks », Information and Inference, 5:2 (juin 2016), 210–249.
Ebrahimi Kahou, S., Bouthillier, X., Lamblin, P., Gülçehre, Ç., Michalski, V., Konda, K. R., Jean, S., Froumenty, P., Dauphin, Y., Boulanger-Lewandowski, N., Chandias Ferrari, R., Mirza, M., Warde-Farley, D., Courville, A., Vincent, P., Memisevic, R., Pal, C. J., Bengio, Y., « EmoNets: Multimodal deep learning approaches for emotion recognition in video », Journal on Multimodal User Interfaces, 10:2 (juin 2016), 99–111.
Havaei, M., Davy, A., Warde-Farley, D., Biard, A., Courville, A., Bengio, Y., Pal, C., Jodoin, P.-M., Larochelle, H., « Brain tumor segmentation with deep neural networks », IEEE Transactions on Medical Imaging, 35:5 (mai 2016), 1240–1251.
Gülçehre, Ç., Bengio, Y., « Knowledge matters: Importance of prior information for optimization », Journal of Machine Learning Research, 17 (2016), 8, 32 p.
Hill, F., Cho, K., Korhonen, A., Bengio, Y., « Learning to understand phrases by embedding the dictionary », Transactions of the Association for Computational Linguistics, 4 (2016), 17–30.
Cho, K., Courville, A., Bengio, Y., « Describing multimedia content using attention-based encoder–decoder networks », IEEE Transactions on Multimedia, 17:11 (novembre 2015), 1875–1886.
Goodfellow, I., Erhan, D., Carrier, P., Courville, A., Mirza, M., Hamner, B., Cukierski, W., Tang, Y., Thaler, D., Lee, D.-H., Zhou, Y., Ramaiah, C., Feng, F., Li, R., Wang, X., Athanasakis, D., Shawe-Taylor, J., Milakov, M., Park, J., Ionescu, R., Popescu, M., Grozea, C., Bergstra, J., « Challenges in representation learning: A report on three machine learning contests », Neural Networks, 64, Deep Learning of Representations (avril 2015), 59–63.
Mesnil, G., Dauphin, Y., Yao, K., Bengio, Y., Deng, L., Hakkani-Tur, D., He, X., Heck, L., Tur, G., Yu, D., Zweig, G., « Using recurrent neural networks for slot filling in spoken language understanding », IEEE/ACM Transactions on Audio, Speech and Language Processing, 23:3 (2015), 530–539.
Bordes, A., Glorot, X., Weston, J., Bengio, Y., « A semantic matching energy function for learning with multi-relational data », Machine Learning, 94:2, Special Issue on Learning Semantics (février 2014), 233–259.
Mesnil, G., Bordes, A., Weston, J., Chechik, G., Bengio, Y., « Learning semantic representations of objects and their parts », Machine Learning, 94:2, Special Issue on Learning Semantics (février 2014), 281–301.
Rivest, F., Kalaska, J., Bengio, Y., « Conditioning and time representation in long short-term memory networks », Biological Cybernetics, 108:1 (février 2014), 23–48.
Alain, G., Bengio, Y., « What regularized auto-encoders learn from the data-generating distribution », Journal of Machine Learning Research, 15 (2014), 3563–3593.
Goodfellow, I., Courville, A., Bengio, Y., « Scaling up spike-and-slab models for unsurpervised feature learning », IEEE Transactions on Pattern Analysis and Machine Intelligence, 35:8 (août 2013), 1902—1914.
Bengio, Y., Courville, A., Vincent, P., « Representation learning: A review and new perspectives », IEEE Transactions on Pattern Analysis and Machine Intelligence, 35:8 (août 2013), 1798–1828.
Martinez, H., Bengio, Y., Yannakakis, G. N., « Learning deep physiological models of affect », IEEE Computational Intelligence Magazine, 8:2 (mai 2013), 20–33.
Delalleau, O., Contal, E., Thibodeau-Laufer, E., Chandias Ferrari, R., Bengio, Y., Zhang, F., « Beyond skill rating: Advanced matchmaking in ghost recon online », IEEE Transactions on Computational Intelligence and AI in Games, 4:3 (septembre 2012), 167–177.
Bengio, Y., Chapados, N., Delalleau, O., Larochelle, H., Saint-Mleux, X., Hudon, C., Louradour, J., « Detonation classification from acoustic signature with the restricted Boltzmann machine », Computational Intelligence, 28:2 (mai 2012), 216–288.
Larochelle, H., Mandel, M., Pascanu, R., Bengio, Y., « Learning algorithms for the classification restricted Boltzmann machine », Journal of Machine Learning Research, 13 (mars 2012), 643–669.
Bergstra, J., Bengio, Y., « Random search for hyper-parameter optimization », Journal of Machine Learning Research, 13 (février 2012), 281–305.

Peer-reviewed conference proceedings:

Ke, N. R., Żołna, K., Sordoni, A., Lin, Z., Trischler, A., Bengio, Y., Pineau, J., Charlin, L., Pal, C. J., « Focused hierarchical RNNs for conditional sequence processing », in Proceedings of the 35th International Conference on Machine Learning, J. Dy, A. Krause, éd., Proceedings of Machine Learning Research, Vol. 80, PMLR, 2018, 2554–2563.
Serban, I. V., Sordoni, A., Lowe, R., Charlin, L., Pineau, J., Courville, A., Bengio, Y., « A hierarchical latent variable encoder-decoder model for generating dialogues », in Proceedings of the Thirtty-First AAAI Conference on Artificial Intelligence and Tewnty-Ninth Innovative Applications of Artificial Intelligence Conference, 31st AAAI Conference on Artificial Intelligence (San Francisco, CA, 2017), AAAI Press, 2017, 3295–3301.
Bahdanau, D., Chorowski, J., Serdyuk, D., Brakel, P., Bengio, Y., « End-to-end attention-based large vocabulary speech recognition », in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing — ICASSP 2016 (Shangai, 2016), Piscataway, NJ, IEEE, 2016, 4945–4949.
Gülçehre, Ç., Moczulski, M., Denil, M., Bengio, Y., « Noisy activation functions », in Proceedings of the 33rd International Conference on Machine Learning, 33nd International Conference on Machine Learning — ICML’16, M. F. Balcan, K. Q. Weinberger, éd., JMLR Workshop and Conference Proceedings, Vol. 48, 2016, 3059–3068.
Firat, O., Cho, K., Bengio, Y., « Multi-way, multilingual neural machine translation with a shared attention mechanism », in Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (San Diego, CA, 2016), Stroudsburg, PA, The Association for Computational Linguistics, 2016, 866––875.
Pezeshki, M., Fan, L., Brakel, P., Courville, A., Bengio, Y., « Deconstructing the ladder network architecture », in Proceedings of the 33rd International Conference on Machine Learnin, 33rd International Conference on Machine Learning (New York, 2016), M. F. Balcan, K. Q. Weinberger, éd., JMLR Workshop and Conference Proceedings, Vol. 48, 2016, 2368–2376.
Serban, I. V., Sordoni, A., Bengio, Y., Courville, A., Pineau, J., « Building end-to-end dialogue systems using generative hierarchical neural network models », in Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 13th AAAI Conference on Artificial Intelligence — AAAI-16 (Phoenix, 2016), AAAI Press, 2016, 3776–3786.
Bornschein, J., Shabanian, S., Fischer, A., Bengio, Y., « Bidirectional Helmholtz machines », in Proceedings of the 33rd International Conference on Machine Learning, 33nd International Conference on Machine Learning — ICML’16, M. F. Balcan, K. Q. Weingerber, éd., JMLR Workshop and Conference Proceedings, Vol. 48, 2016, 2511–2519.
Chung, J., Kastner, K., Dinh, L., Goel, K., Courville, A., Bengio, Y., « A recurrent latent variable model for sequential data », in 29th Annual Conference on Neural Information Processing Systems 2015, 29th Annual Conference on Neural Information Processing Systems 2015 — NIPS 2015 (Montréal, QC,2015), C. Cortes, N. D. Lawrence, D. D.Lee, M. Sugiyama, R. Garnett, éd., Advances in Neural Information Processing Systems, Vol. 28, Red Hook, NY, Curran Associates, Inc., 2015, 2980–2988.
Chorowski, J., Bahdanau, D., Serdyuk, D., Cho, K., Bengio, Y., « Attention-based models for speech recognition », in 29th Annual Conference on Neural Information Processing Systems 2015, 29th Annual Conference on Neural Information Processing Systems — NIPS 2015 (Montréal, QC, 2015), C. Cortes, N. D. Lawrence, D. D. Lee, M. Sugiyama, R. Garnett, éd., Advances in Neural Information Processing Systems, Vol. 28, Red Hook, NY, Curran Associates, Inc., 2015, 577–585.
Courbariaux, M., Bengio, Y., David, J.-P., « BinaryConnect: Training deep neural networks with binary weights during propagations », in 29th Annual Conference on Neural Information Processing Systems 2015, 29th Annual Conference on Neural Information Processing Systems — NIPS 2015 (Montréal, QC, 2015), C. Cortes, N. D. Lawrence, D.D. Lee, M. Sugiyama, R. Garnett, éd., Advances in Neural Information Processing Systems, Vol. 28, Red Hook, NY, Curran Associates, Inc., 2015, 3123–3131.
Lee, D.-H., Zhang, S., Fischer, A., Bengio, Y., « Difference target propagation », in Machine Learning and Knowledge Discovery in Databases, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (Porto 2015), A. Appice, P. Pereira Rodrigues, V. Santos Costa, C. Soares, J. Gama, A. Jorge, éd., Lecture Notes in Computer Science, Vol. 9284, Berlin, Springer, 2015, 498–515.
Chung, J., Gülçehre, Ç., Cho, K., Bengio, Y., « Gated feedback recurrent neural networks », in Proceedings of the 32nd International Conference on Machine Learning, 32nd International Conference on Machine Learning — ICML 2015 (Lille, 2015), F. Bach, D. Blei, éd., JMLR Workshop and Conference Proceedings, Vol. 37, 2015, 2067–2075.
Xu, K., Ba, J., Kiros, R., Cho, K., Courville, A., Salakhutdinov, R., Zemel, R., Bengio, Y., « Show, attend and tell: Neural image caption generation with visual attention », in Proceedings of the 32nd International Conference on Machine Learning, 32nd International Conference on Machine Learning — ICML 2015 (Lille, 2015), F. Bach, D. Blei, éd., JMLR Workshop and Conference Proceedings, Vol. 37, 2015, 2048–2057.
Gouws, S., Bengio, Y., Corrado, G., « BilBOWA: Fast bilingual distributed representations without word alignments », in Proceedings of the 32nd International Conference on Machine Learning, 32nd International Conference on Machine Learning — ICML 2015 (Lille, 2015), F. Bach, D. Blei, éd., JMLR Workshop and Conference Proceedings, Vol. 37, 2015, 748–756.
Jean, S., Cho, K., Memisevic, R., Bengio, Y., « On using very large target vocabulary for neural machine translation », in Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Beijing, 2015), Association for Computational Linguistics, 2015, P15–1001, 10 p.
Sordoni, A., Bengio, Y., Vahabi, H., Lioma, C., Simonsen, J. G., Nie, J.-Y., « A hierarchical recurrent encoder-decoder for generative context-aware query suggestion », in Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, 24th ACM Conference of Information Knowledge and Management — CIKM 2015 (Melbourne, 2015), New York, ACM, 2015, 553–562.
Dauphin, Y., de Vries, H., Bengio, Y., « Equilibrated adaptive learning rates for non-convex optimization », in Proceedings of the 29th International Conference on Neural Information Processing Systems, 29th International Conference on Neural Information Processing Systems — NIPS 2015 (Montréal, QC, 2015), C. Cortes, N. D. Lawrence, D. D. Lee, M. Sugiyama, R. Garnett, éd., Advances in Neural Information Processing Systems, Vol. 28, Red Hook, NY, Curran Associates, Inc., 2015, 1504–1512.
Mesnil, G., Rifai, S., Bordes, A., Glorot, X., Bengio, Y., Vincent, P., « Unsupervised learning of semantics of object detections for scene categorization », in Pattern Recognition Applications and Methods, International Conference on Pattern Recognition Applications and Methods — ICPRAM 2013 (Barcelona, 2013), A. Fred, M. De Marisco, éd., Advances in Intelligent Systems and Computing, Vol. 318, Heidelberg, Springer, 2015, 209–224.
Bengio, Y., Thibodeau-Laufer, E., Alain, G., Yosinski, J., « Deep generative stochastic networks trainable by backprop », in Proceedings of the 31st International Conference on Machine Learning, 31st International Conference on Machine Learning — ICML 2014 (Beijing, 2014), E. P. Xing, T. Jebara, éd., JMLR Workshop and Conference Proceedings, Vol. 32, 2014, 226–234.
Chen, M., Weinberger, K., Sha, F., Bengio, Y., « Marginalized denoising auto-encoders for nonlinear representations », in Proceedings of the 31st International Conference on Machine Learning, 31st International Conference on Machine Learning — ICML 2014 (Beijing, 2014), E. P. Xing, T. Jebara, éd., JMLR Workshop and Conference Proceedings, Vol. 32, 2014, 1476–1484.
Goodfellow, I., Mirza, M., Da, X., Courville, A., Bengio, Y., « An empirical investigation of catastrophic forgeting in gradient-based neural networks », International Conference on Learning Representations 2014 (Banff, AB, 2014), 2014.
Pascanu, R., Gülçehre, Ç., Cho, K., Bengio, Y., « How to construct deep recurrent neural networks », International Conference on Learning Representations 2014 (Banff, AB, 2014), 2014.
Pascanu, R., Montufar, G., Bengio, Y., « On the number of response regions of deep feed forward networks with piece-wise linear activations », International Conference on Learning Representations 2014 (Banff, AB, 2014), 2014.
Pascanu, R., Bengio, Y., « Revisiting natural gradient for deep networks », International Conference on Learning Representations 2014 (Banff, AB, 2014), 2014.
Warde-Farley, D., Goodfellow, I., Courville, A., Bengio, Y., « An empirical analysis of dropout in piecewise linear networks », International Conference on Learning Representations 2014 (Banff, AB, 2014), 2014.
Ozair, S., Yao, L., Bengio, Y., « Multimodal transitions for generative stochastic networks », International Conference on Learning Representations 2014 (Banff, AB, 2014), 2014.
Bengio, Y., Yao, L., Cho, K., « Bounding the test log-likelihood of generative models », International Conference on Learning Representations 2014 (Banff, AB, 2014), 2014.
Yosinski, J., Clune, J., Bengio, Y., Lipson, H., « How transferable are features in deep neural networks? », in 28th Annual Conference on Neural Information Processing Systems 2014, 28th Annual Conference on Neural Information Processing Systems — NIPS 2014 (Montréal, QC, 2014), Advances in Neural Information Processing Systems, Vol. 27, Red Hook, NY, Curran Associates, Inc., 2014, 3320–3328.
Raiko, T., Yao, L., Cho, K., Bengio, Y., « Iterative neural autoregressive distribution estimator (NADE-$k$) », in 28th Annual Conference on Neural Information Processing Systems 2014, 28th Annual Conference on Neural Information Processing Systems — NIPS 2014 (Montréal, QC, 2014), Z. Ghahramani M. Welling, C. Cortes, N.D. Lawrence, K. Q. Weinberger, éd., Advances in Neural Information Processing Systems, Vol. 27, Red Hook, NY, Curran Associates, Inc., 2014, 325–333.
Yao, L., Ozair, S., Cho, K., Bengio, Y., « On the equivalence between deep NADE and generative stochastic networks », in Machine Learning and Knowledge Discovery in Databases, European Conference on Machine Learning and Knowledge Discovery in Databases — ECML PKDD 2014 (Nancy, 2014), T. Calders, F. Esposito, E. Hüllermeier, R. Meo, éd., Lecture Notes in Computer Science, Berlin, Springer, 2014, 322–336.
Dauphin, Y., Pascanu, R., Gülçehre, Ç., Cho, K., Ganguli, S., Bengio, Y., « Identifying and attacking the saddle point problem in high-dimensional non-convex optimization », in 28th Annual Conference on Neural Information Processing Systems, 28th Annual Conference on Neural Information Processing Systems — NIPS 2014 (Montréal, QC), Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence, K.Q. Weinberger, éd., Advances in Neural Information Processing Systems, Vol. 27, Red Hook, NY, Curran Associates, Inc., 2014, 2933–2941.
Montúfar, G., Pascanu, R., Cho, K., Bengio, Y., « On the number of linear regions of deep neural networks », in 28th Annual Conference on Neural Information Processing Systems 2014, 28th Annual Conference on Neural Information Processing Systems 2014 (Montréal, QC, 2014), Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, K. Q. Weinberger, éd., Advances in Neural Information Processing Systems, Vol. 27, Red Hook, NY, Curran Associates, Inc., 2014, 2924–2932.
Dumoulin, V., Goodfellow, I., Courville, A., Bengio, Y., « On the challenges of physical implementations of RBMs », in Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence and the Twenty-Sixth Innovative Applications of Artificial Conference, 28th AAAI Conference on Artificial Intelligence (Québec. QC, 2014), 2014, 1199–1205.
Gülçehre, Ç., Cho, K., Pascanu, R., Bengio, Y., « Learned-norm pooling for deep feedforward and recurrent neural networks », in Machine Learning and Knowledge Discovery in Databases, European Conference on Machine Learning and Knowledge Discovery in Databases — ECML PKDD 2014 (Nancy 2014), T. Calders, F. Esposito, E. Hüllermeier, R. Meo, éd., Lecture Notes in Computer Science, Vol. 8724, Berlin, Springer, 2014, 530–546.
Bengio, Y., Mesnil, G., Dauphin, Y., Rifai, S., « Better mixing via deep representations », in Proceedings of the 30th International Conference on Machine Learning, 30th International Conference on Machine Learning — ICML 2013 (Atlanta, GA, 2013), S. Dasgupta, D. McAllester, éd., JMLR Workshop and Conference Proceedings, Vol. 28, 2013, 552–560.
Bengio, Y., Boulanger-Lewandowski, N., Pascanu, R., « Advances in optimizing recurrent networks », in 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing — ICASSP 2013 (Vancouver, BC, 2013), IEEE, 2013, 8624–8628.
Bengio, Y., « Deeping learning of representations: Looking forward », in Statistical Language ans Speech Processing, First International Conference on Statistical Language and Speech Processing — SLSP 2013 (Tarragona, 2013), A.-H. Dediu, C. Martín-Vide, R. Mitkov, B. Truthe, éd., Lecture Notes in Computer Science, Vol. 7978, Berlin, Springer, 2013, 1–37.
Boulanger-Lewandowski, N., Bengio, Y., Vincent, P., « High-dimensional sequence transduction », in 2013 IEEE International Conference on Acustics, Speech, and Signal Processing. Proceedings, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing — ICASSP 2013 (Vancouver, BC, 2013), IEEE, 2013, 3178–3182.
Mesnil, G., He, X., Deng, L., Bengio, Y., « Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding », in INTERSPEECH 2013, 14th Annual Conference of the International Speech Communication Association, 14th Annual Conference of the International Speech Communication Association (Lyon, 2013), F. Bimbot, C. Cerisera, C. Fougeron, G. Gravier, L. Lamel, F. Pellegrino, P. Perrier, éd., ISCA, 2013, 3771–3775.
Goodfellow, I., Courville, A., Bengio, Y., « Joint training deep Boltzmann machines for classification », International Conference on Learning Representations 2013 — ICLR 2013 (Scottsdale, AZ, 2013), 2013.
Goodfellow, I., Warde-Farley, D., Mirza, M., Courville, A., Bengio, Y., « Maxout networks », in Proceedings of the 30th International Conference on Machine Learning, 30th International Conference on Machine Learning — ICML 2013 (Atlanta, GA, 2013), S. Dasgupta, D. McAllester, éd., JMLR Workshop and Conference Proceedings, Vol. 28, 2013, 1319–1327.
Desjardins, G., Pascanu, R., Courville, A., Bengio, Y., « Metric-free natural gradient for joint-training of Boltzmann machines », International Conference on Learning Representations 2013 — ICLR 2013 (Scottsdale, AZ, 2013), 2013.
Sordoni, A., Nie, J.-Y., Bengio, Y., « Modeling term dependencies with quantum language models for IR », in Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval, 36th International ACM SIGIR conference on Researchh and Development in Information Retrieval — SIGIR 2013 (Dublin, 2013), G. J. F. Jones, P. Sheridan, D. Kelly, M. de Rijke, T. Sakai, éd., New York, ACM, 2013, 653–662.
Pascanu, R., Mikolov, T., Bengio, Y., « On the difficulty of training recurrent neural networks », in Proceedings of the 30th International Conference on Machine Learning, 30th International Conference on Machine Learning — ICML 2013 (Atlanta, GA, 2013), S. Dasgupta, D. McAllester, éd., JMLR Workshop and Conference Proceedings, Vol. 28, 2013, 1310–1318.
Goodfellow, I., Mirza, M., Courville, A., Bengio, Y., « Mullti-prediction deep Boltzmann machines », in 27th Annual Conference on Neural Information Processing Systems 2013, 27th Annual Conference on Neural Information Processing Systems 2013 (Lake Tahoe, NV, 2013), C. J. C. Burges, L. Bottou, M. Welling, éd., Advances in Neural Information Processing Systems, Vol. 26, Red Hook, NY, Curran Associates, Inc., 2013, 548–556.
Bengio, Y., Yao, L., Alain, G., Vincent, P., « Generalized denoising auto-encoders as generative models », in 27th Annual Conference on Neural Information Processing Systems 2013, 27th Annual Conference on Neural Information Processing Systems 2013 (Lake Tahoe, NV, 2013), C. J. C. Burges, L. Bottou, M. Welling, éd., Advances in Neural Information Processing Systems, Vol. 26, Red Hook, NY, Curran Associates, Inc., 2013, 899–907.
Dauphin, Y., Bengio, Y., « Stochastic ratio matching of RBMs for sparse high-dimensional inputs », in 27th Annual Conference on Neural Information Processing Systems 2013, 27th Annual Conference on Neural Information Processing Systems 2013 (Lake Tahoe, NV, 2013), C .J. C. Burges, L. Bottou, M. Welling, éd., Advances in Neural Information Processing Systems, Vol. 26, Red Hook, NY, Curran Associates, Inc., 2013, 1342–1350.
Luo, H., Carrier, P. L., Courville, A., Bengio, Y., « Texture modeling with convolutional spike-and-slab RBMs and Deep Extensions », in Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, Sixteenth International Conference on Artificial Intelligence and Statistics — AISTATS 2013 (Scottsdale, AZ, 2013), C. M. Carvalho, P. Ravikumar, éd., JMLR Workshop and Conference Proceedings, Vol. 31, 2013, 415–423.
Mesnil, G., Dauphin, Y., Glorot, X., Rifai, S., Bengio, Y., Goodfellow, I., Lavoie, É., Muller, X., Desjardins, G., Warde-Farley, D., Vincent, P., Courville, A., Bergstra, J., « Unsupervised and transfer learning challenge: A deep learning approach », in Unsupervised and Transfer Learning Workshop, Workshop on Unsupervised and Transfer Learning (Bellevue, WA, 2011), I. Guyon, G. Dror, V. Lemaire, G. Taylor, D. Silver, éd., JMLR Workshop and Conference Proceedings, Vol. 27, 2012, 97–111.
Bengio, Y., « Deep learning of representations for unsupervised and transfer learning », in Unsupervised and Transfer Learning Workshop, Unsupervised and Transfer Learning Workshop (Bellevue, WA, 2011), I. Guyon, G. Dror, V. Lemaire, G. Taylor, D. Silver, éd., JMLR Workshop and Conference Proceedings, Vol. 27, 2012, 17–36.
Rifai, S., Bengio, Y., Dauphin, Y., Vincent, P., « A generative process for sampling contractive auto-encoders », in Proceedings of the 29th International Conference on Machine Learning, 29th International Conference on Machine Learning — ICML 2012 (Edinburgh 2012), J. Langford, J. Pineau, éd., Omnipress, 2012, 1855–1862.
Boulanger-Lewandowski, N., Bengio, Y., Vincent, P., « Discriminative non-negative matrix factorization for multiple pitch estimation », in Proceedings of the 13th International Society for Music Information Retrieval Conference, 13th International Society for Music Information Retrieval Conference — ISMIR 2012 (Porto, 2012), F. Gouyon, P. Herrera, L. G. Martins, M. Müller, éd., FEUP Edições, 2012, 205–2010.
Rifai, S., Bengio, Y., Courville, A., Vincent, P., Mirza, M., « Disentangloing factors of variation for facial expression recognition », in Computer Vision – ECCV 2012, 12th European Conference on Computer Vision (Florence, 2012), A. Fitzgibbon, S, Lazebnik, P. Perona, Y. Sato, C. Schmid, éd., Lecture Notes in Computer Science, Vol. 7577, Berlin, Springer, 2012, 808–822.
Bordes, A., Glorot, X., Weston, J., Bengio, Y., « Joint learning of words and meaning representations for open-text semantic parsing », in Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 15th International Conference on Artificial Intelligence and Statistics — AISTATS 2012 (La Palma, 2012), N. Lawrence, M. Girolami, éd., JMLR Workshop and Conference Proceedings, Vol. 22, 2012, 127–135.
Courville, A., Bengio, Y., Goodfellow, I., « Large-scale feature learning with spike-and-slab sparse coding », in Proceedings of the 29th International Conference on Machine Learning, 29th International Conference on Machine Learning — ICML 2012 (Edinburgh, 2012), J. Langford, J. Pineau, éd., Omnipress, 2012, 1439–1446.
Boulanger-Lewandowski, N., Bengio, Y., Vincent, P., « Modeling temporal dependencies in high-dimensional sequences: Application to polyphonic music generation and transcription », in Proceedings of the 29th International Conference on Machine Learning, 29th International Conference on Machine Learning — ICML 2012 (Edinburgh, 2012), J. Langford, J. Pineau, éd., Omnipress, 2012, 1159–1166.

Research reports:

Gülçehre, Ç., Moczulski, M., Visin, F., Bengio, Y., « Mollifying networks », arXiv:1608.04980, août 2016.
Ahn, S., Choi, H., Pännamaa, T., Bengio, Y., « A neural knowledge language model », arXiv:1608.00318, août 2016.
Ott, J., Lin, Z., Zhang, Y., Liu, S.-C., Bengio, Y., « Recurrent neural networks with limited numerical precision », arXiv:1608.06902, août 2016.
Bahdanau, D., Brakel, P., Xu, K., Goyal, A., Lowe, R., Pineau, J., Courville, A., Bengio, Y., « An actor-critic algorithm for sequence prediction », arXiv:1607.07086, juillet 2016.
Havaei, M., Guizard, N., Chapados, N., Bengio, Y., « HeMIS: Hetero-modal image segmentation », arXiv:1607.05194, juillet 2016.
Choi, H., Cho, K., Bengio, Y., « Context-dependent word representation for neural machine translation », arXiv:1607.00578, juillet 2016.
Wu, Y., Zhang, S., Zhang, Y., Bengio, Y., Salakhutdinov, R., « On multiplicative integration with recurrent neural networks », arXiv:1606.06630, juin 2016.
Zhang, X.-Y., Yin, F., Zhang, Y.-M., Liu, C.-L., Bengio, Y., « Drawing and recognizing Chinese characters with recurrent neural network », arXiv:1606.06539, juin 2016.
Kim, T., Bengio, Y., « Deep directed generative models with energy-based probability estimation », arXiv:1606.03439, juin 2016.
Sordoni, A., Bachman, P., Bengio, Y., « Iterative alternating neural attention for machine reading », arXiv:1606.02245, juin 2016.
Bengio, Y., Scellier, B., Bilaniuk, O., Sacramento, J., Senn, W., « Feedforward initialization for fast inference of deep generative networks is biologically plausible », arXiv:1606.01651, juin 2016.
Krueger, D., Maharaj, T., Kramár, J., Pezeshki, M., Ballas, N., Ke, N., Goyal, A., Bengio, Y., Larochelle, H., Courville, A., Pal, C., « Zoneout: Regularizing RNNs by randomly preserving hidden activations », arXiv:1606.01305, juin 2016.
Serban, I. V., Klinger, T., Tesauro, G., Talamadupula, K., Zhou, B., Bengio, Y., Courville, A., « Multiresolution recurrent neural networks: An application to dialogue response generation », arXiv:1606.00776, juin 2016.
Chandar, S., Ahn, S., Larochelle, H., Vincent, P., Tesauro, G., Bengio, Y., « Hierarchical memory networks », arXiv:1605.07427, mai 2016.
Al-Rfou, R., Alain, G., Almahairi, A., Angermueller, C., Bahdanau, D., Ballas, N., Bastien, F., Bayer, J., Belikov, A., Bengio, Y., Bergeron, A., Bergstra, J., Bisson, V., Bleecher Snyder, J., Bouchard, N., Boulanger-Lewandowski, N., Bouthillier, X., de Brébisson, A., Breuleux, O., Carrier, P.-L., Cho, K., Chorowski, J., Christiano, P., Cooijmans, T., Côté, M.-A., Côté, M., Courville, A., Dauphin, Y., Delalleau, O., Demouth, J., Desjardins, G., Dieleman, S., Dinh, L., Ducoffe, M., Dumoulin, V., Kahou, S. E., Erhan, D., Firat, O., Germain, M., Glorot, X., Goodfellow, I., Graham, M., Gülçehre, Ç., Hamel, P., Harlouchet, I., Heng, J.-P., Hidasi, B., Honari, S., Jain, A., Jean, S., Jia, K., Korobov, M., Kulkarni, V., Lamb, A., Lamblin, P., Larsen, E., Laurent, C., Lee, S., Lefrançois, S., Lemieux, S., Léonard, N., Lin, Z., Livezey, J. A., Lorenz, C., Lowin, J., Ma, Q., Manzagol, P.-A., Mastropietro, O., McGibbon, R. T., Memisevic, R., van Merriënboer, B., Michalski, V., Mirza, M., Orlandi, A., Pal, C., Pascanu, R., Pezeshki, M., Raffel, C., Renshaw, D., Rocklin, M., Romero, A., Roth, M., Sadowski, P., Salvatier, J., Savard, F., Schlüter, J., Schulman, J., Schwartz, G., Serban, I. V., Serdyuk, D., Shabanian, S., Simon, É., Spieckermann, S., Subramanyam, S. R., Sygnowski, J., Tanguay, J., van Tulder, G., Turian, J., Urban, S., Vincent, P., Visin, F., de Vries, H., Warde-Farley, D., Webb, D. J., Willson, M., Xu, K., Xue, L., Yao, L., Zhang, S., Zhang, Y., « Theano: A Python framework for fast computation of mathematical expressions », arXiv:1605.02688, mai 2016.
Gülçehre, Ç., Ahn, S., Nallapati, R., Zhou, B., Bengio, Y., « Pointing the unknown words », arXiv:1603.08148, mars 2016.
Serban, I. V., García-Durán, A., Gülçehre, Ç., Ahn, S., Chandar, S., Courville, A., Bengio, Y., « Generating factoid questions with recurrent neural networks: The 30M factoid question-answer corpus », arXiv:1603.06807, mars 2016.
Chung, J., Cho, K., Bengio, Y., « A character-level decoder without explicit segmentation for neural machine translation », arXiv:1603.06147, mars 2016.
Zhang, S., Wu, Y., Che, T., Lin, Z., Memisevic, R., Salakhutdinov, R., Bengio, Y., « Architectural complexity measures of recurrent neural networks », arXiv:1602.08210, février 2016.
Scellier, B., Bengio, Y., « Towards a biologically plausible backprop », arXiv:1602.05179, février 2016.
Courbariaux, M., Hubara, I., Soudry, D., El-Yaniv, R., Bengio, Y., « Binarized neural networks: Training deep neural networks with weights and activations constrained to $+1$ or $-1$ », arXiv:1602.02830, février 2016.
Courbariaux, M., Bengio, Y., David, J.-P., « Training deep neural networks with low precision multiplications », arXiv:1412.7024, décembre 2015. ICLR 2015 Workshop Poster Session
Im, D. J., Ahn, S., Memisevic, R., Bengio, Y., « Denoising criterion for variational auto-encoding framework », arXiv:1511.06406, novembre 2015.
Visin, F., Ciccone, M., Romero, A., Kastner, K., Cho, K., Bengio, Y., Matteucci, M., Courville, A., « ReSeg: A recurrent neural metwork-based model for semantic segmentation », arXiv:1511.07053, novembre 2015. CVPR Deep Vision Workshop, 2016
Alain, G., Lamb, A., Sankar, C., Courville, A., Bengio, Y., « Variance reduction in SGD by distributed importance sampling », arXiv:1511.06481, novembre 2015. International Conference on Learning Representations 2016
Arjovsky, M., Shah, A., Bengio, Y., « Unitary evolution recurrent neural networks », arXiv:1511.06464, novembre 2015.
Bahdanau, D., Serdyuk, D., Brakel, P., Ke, N., Chorowski, J., Courville, A., Bengio, Y., « Task loss estimation for sequence prediction », arXiv:1511.06456, novembre 2015.
Yao, L., Ballas, N., Cho, K., Smith, J. R., Bengio, Y., « Empirical performance upper bounds for image and video captioning », arXiv:1511.04590, novembre 2015. ICLR 2016
Lin, Z., Courbariaux, M., Memisevic, R., Bengio, Y., « Neural networks with few multiplications », arXiv:1510.03009, octobre 2015. 4th International Conference on Learning Representations — ICLR 2016 (San Juan, PR, 2016)
Bengio, Y., Fischer, A., « Early inference in energy-based models approximates back-propagation », arXiv:1510.02777, octobre 2015.
Laurent, C., Pereyra, G., Brakel, P., Zhang, Y., Bengio, Y., « Batch normalized recurrent neural networks », arXiv:1510.01378, octobre 2015. ICASSP 2016
Bengio, Y., Mesnard, T., Fischer, A., Zhang, S., Wu, Y., « STDP as presynaptic activity times rate of change of postsynaptic activity », arXiv:1509.05936, septembre 2015.
de Brébisson, A., Simon, É., Auvolat, A., Vincent, P., Bengio, Y., « Artificial neural networks applied to taxi destination prediction », arXiv:1508.00021, août 2015.
Serban, I. V., Sordoni, A., Bengio, Y., Courville, A., Pineau, J., « Hierarchical neural network generative models for movie dialogues », arXiv:1507.04808, juillet 2015.
Auvolat, A., Chandar, S., Vincent, P., Larochelle, H., Bengio, Y., « Clustering is efficient for approximate maximum inner product search », arXiv:1507.05910, juillet 2015.
van Merriënboer, B., Bahdanau, D., Dumoulin, V., Serdyuk, D., Warde-Farley, D., Chorowski, J., Bengio, Y., « Blocks and fuel: Frameworks for deep learning », arXiv:1506.00619, juin 2015.
Visin, F., Kastner, K., Cho, K., Matteucci, M., Courville, A., Bengio, Y., « ReNet: A recurrent neural network based alternative to convolutional networks », arXiv:1505.00393, mai 2015.
Gülçehre, Ç., Firat, O., Xu, K., Cho, K., Barrault, L., Lin, H.-C., Bougares, F., Schwenk, H., Bengio, Y., « On using monolingual corpora in neural machine translation », arXiv:1503.03535, mars 2015.
Bengio, Y., Lee, D.-H., Bornschein, J., Mesnard, T., Lin, Z., « Towards biologically plausible deep learning », arXiv:1502.04156, février 2015.
Gülçehre, Ç., Moczulski, M., Bengio, Y., « ADASECANT: Robust adaptive secant method for stochastic gradient », arXiv:1412.7419 décembre 2014. OPT 2015
Romero, A., Ballas, N., Kahou, S. E., Chassang, A., Gatta, C., Bengio, Y., « FitNets: Hints for thin deep nets », arXiv:1412.6550, décembre 2014.
Hill, F., Cho, K., Jean, S., Devin, C., Bengio, Y., « Embedding word similarity with neural machine translation », arXiv:1412.6448, décembre 2014.
Mesnil, G., Mikolov, T., Ranzato, M. A., Bengio, Y., « Ensemble of generative and discriminative techniques for sentiment analysis of movie reviews », arXiv:1412.5335, décembre 2014. ICLR 2015
Chung, J., Gülçehre, Ç., Cho, K., Bengio, Y., « Empirical evaluation of gated recurrent neural networks on sequence modeling », arXiv:1412.3555, décembre 2014. NIPS 2014 Deep Learning and Representation Learning Workshop (Poster)
Chorowski, J., Bahdanau, D., Cho, K., Bengio, Y., « End-to-end continuous speech recognition using attention-based recurrent NN: First results », arXiv:1412.1602, décembre 2014. NIPS 2014 Deep Learning and Representation Learning Workshop (Poster)
Dinh, L., Krueger, D., Bengio, Y., « NICE: Non-linear independent components estimation », arXiv:1410.8516, octobre 2014. ICLR 2015
Hill, F., Cho, K., Jean, S., Devin, C., Bengio, Y., « Not all neural embeddings are born equal », arXiv:1410.0718, octobre 2014. NIPS 2014 Workshop on Learning Semantics
Ozair, S., Bengio, Y., « Deep directed generative autoencoders », arXiv:1410.0630, octobre 2014.
Desjardins, G., Luo, H., Courville, A., Bengio, Y., « Deep tempering », arXiv:1410.0123, octobre 2014.
Cho, K., van Merriënboer, B., Bahdanau, D., Bengio, Y., « On the properties of neural machine translation: Encoder-decoder aspproaches », arXiv:1409.1259, septembre 2014. 8th Workshop on Syntax, Semantics and Structure in Statistical Translation
Pouget-Abadie, J., Bahdanau, D., van Merriënboer, B., Cho, K., Bengio, Y., « Overcoming the curse of sentence length for neural machine translation using automatic segmentation », arXiv:1409.1257, septembre 2014. 8th Workshop on Syntax, Semantics and Structure in Statistical Translation
Bahdanau, D., Cho, K., Bengio, Y., « Neural machine translation by jointly learning to align and translate », arXiv:1409.0473, septembre 2014. ICLR 2015
Bengio, Y., « How auto-encoders could provide credit assignment in deep networks via target propagation », arXiv:1407.7906, juillet 2014.
Cho, K., Bengio, Y., « Exponentially increasing the capacity-to-computation ratio for conditional computation in deep learning », arXiv:1406.7362, juin 2014.
Bornschein, J., Bengio, Y., « Reweighted wake-sleep », arXiv:1406.2751, juin 2014. ICLR 2015
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y., « Generative adversarial networks », arXiv:1406.2661, juin 2014.
Cho, K., van Merriënboer, B., Gülçehre, Ç., Bahdanau, D., Bougares, F., Schwenk, H., Bengio, Y., « Learning phrase representations using RNN encoder-decoder for statistical machine translation », arXiv:1406.1078, juin 2014. EMNLP 2014
Pascanu, R., Dauphin, Y., Ganguli, S., Bengio, Y., « On the saddle point problem for non-convex optimization », arXiv:1405.4604, mai 2014.
Goodfellow, I., Warde-Farley, D., Lamblin, P., Dumoulin, V., Mirza, M., Pascanu, R., Bergstra, J., Bastien, F., Bengio, Y., « Pylearn2: A machine learning research library », arXiv:1308.4214, août 2013.
Bengio, Y., Léonard, N., Courville, A., « Estimating or propagating gradients through stochastic neurons for conditional computation », arXiv:1308.3432, août 2013.
Bengio, Y., « Estimating or propagating gradients through stochastic neurons », arXiv:1305.2982, mai 2013.
Delalleau, O., Courville, A., Bengio, Y., « Efficient EM training of Gaussian mixtures with missing data », arXiv:1209.0521, septembre 2012.
Bengio, Y., Alain, G., Rifai, S., « Implicit density estimation by local moment matching to sample from auto-encoders », arXiv:1207.0057, juillet 2012.
Desjardins, G., Courville, A., Bengio, Y., « On training deep Boltzmann machines », arXiv:1203.4416, mars 2012.

Sahir R. Bhatnagar

Peer-reviewed journal articles:

Sun, J., Bhatnagar, S., Oualkacha, K., Ciampi, A., Greenwood, C. M. T., « Joint analysis of multiple blood pressure phenotypes in GAW19 data by using a multivariate rare-variant association test », BMC Proceedings, 10:Suppl. 7 (2016), 309–313.
Wang, Y., Murphy, O. A., Turgeon, M., Wang, Z., Bhatnagar, S. R., Schulz, J., Moodie, E. E. M., « The perils of quasi-likelihood information criteria », Stat, 4 (2015), 246–254.
Bhatnagar, S., Atherton, J., Benedetti, A., « Comparing alternating logistic regressions to other approaches to modelling correlated binary data », Journal of Statistical Computation and Simulation, 85:10 (octobre 2014), 1–13.

Taoufik Bouezmarni

Peer-reviewed journal articles:

Bahraoui, T., Bouezmarni, T., Quessy, J.-F., « A family of goodness-of-fit tests for copulas based on characteristic functions », Scandinavian Journal of Statistics. Theory and Applications, 45:2 (juin 2018), 301–323.
Rémillard, B., Nasri, B., Bouezmarni, T., « On copula-based conditional quantile estimators », Statistics & Probability Letters, 128 (septembre 2017), 14–20.
Belalia, M., Bouezmarni, T., Leblanc, A., « Smooth conditional distribution estimators using Bernstein polynomials », Computational Statistics & Data Analysis, 111 (juillet 2017), 166–182.
Belalia, M., Bouezmarni, T., Camirand Lemyre, F., Taamouti, A., « Testing independence based on Bernstein empirical copula and copula density », Journal of Nonparametric Statistics, 29:2 (2017), 346–380.
Taamouti, A., Bouezmarni, T., El Ghouch, A., « Nonparametric estimation and inference for conditional density based Granger causality measures », Journal of Econometrics, 180:2 (juin 2014), 251–264.
Bouezmarni, T., Taamouti, A., « Nonparametric tests for conditional independence using conditional distributions », Journal of Nonparametric Statistics, 26:4 (2014), 697–719.
Bouezmarni, T., El Ghouch, A., Taamouti, A., « Bernstein estimator for unbounded copula densities », Statistics & Risk Modeling, 30:4 (décembre 2013), 343–360.
El Ghouch, A., Genton, M. G., Bouezmarni, T., « Measuring the discrepancy of a parametric model via local polynomial smoothing », Scandinavian Journal of Statistics. Theory and Applications, 40:3 (septembre 2013), 455–470.
Noh, H., El Ghouch, A., Bouezmarni, T., « Copula-Based regression estimation and inference », Journal of the American Statistical Association, 108:502 (juin 2013), 676–688.
Bouezmarni, T., Rombouts, J., Taamouti, A., « Nonparametric copula-based test for conditional independence with applications to granger causality », Journal of Business & Economic Statistics, 30:2 (avril 2012), 275–287.

Alexandre Bureau

Peer-reviewed journal articles:

Bureau, A., Croteau, J., « Polyunphased: an extension to polytomous outcomes of the Unphased package for family-based genetic association analysis », Statistical Applications in Genetics and Molecular Biology, 16:1 (mars 2017), 75–81.
Bureau, A., Duchesne, T., « On the validity of within-nuclear-family genetic association analysis in samples of extended families », Statistical Applications in Genetics and Molecular Biology, 14:6 (décembre 2015), 533–549.
Labbe, A., Bureau, A., Moreau, I., Roy, M.-A., Chagnon, Y., Maziade, M., Mérette, C., « Symptom dimensions as alternative phenotypes to address genetic heterogeneity in schizophrenia and bipolar disorder », European Journal of Human Genetics, 20 (novembre 2012), 1182–1188.

Félix Camirand Lemyre

Peer-reviewed journal articles:

Belalia, M., Bouezmarni, T., Camirand Lemyre, F., Taamouti, A., « Testing independence based on Bernstein empirical copula and copula density », Journal of Nonparametric Statistics, 29:2 (2017), 346–380.

Anne-Sophie Charest

Book chapters:

Charest, A.-S., « Empirical evaluation of statistical inference from differentially-private contingency tables », in Privacy in Statistical Databases, Josep Domingo-Ferrer, Ilenia Tinnirello, éd., Lecture Notes in Computer Science, Vol. 7556, Berlin, Springer, 2012. UNESCO Chair in Data Privacy, International Conference, PSD 2012, Palermo, Italy, September 26-28, 2012. Proceedings

Peer-reviewed journal articles:

Lei, J., Charest, A.-S., Slavkovic, A., Smith, A. D., Fienberg, S. E., « Differentially private model selection with penalized and constrained likelihood », Journal of the Royal Statistical Society. Series A. Statistics in Society, 181:3 (juin 2018), 609–633.
Beaumont, J.-F., Charest, A.-S., « Bootstrap variance estimation with survey data when estimating model parameters », Computational Statistics & Data Analysis, 56:12 (décembre 2012), 4450–4461.

Yogendra P. Chaubey

Monographs and books:

Chaubey, Y. P., Some recent advances in mathematics and statistics, Singapore, World Sci. Publ., 2013.
Chaubey, Y. P., Adhikari, A., Adhikari, M. R., Contemporary topics in mathematics & statistics with applications 1, Vol. 1, India, New Delhi, Asian Books Private Limited, 2012.

Book chapters:

Howlader, T., Rahman, M., Chaubey, Y. P., « On wavelet-based methods for noise reduction of cDNA microarray images », in Mathematical and Statistical Applications in Life Sciences and Engineering, A. Adhikari, M. R. Adhikari, Y. P. Chaubey, éd., Singapore, Springer, 2017.
Chaubey, Y. P., Li, J., « Asymmetric kernel density estimator for length biased data », in Contemporary topics in mathematics and statistics with applications, Avishek Adhikari, Mahima Ranjan Adhikari, Yogendra P. Chaubey, éd., Vol. 1, New Delhi, India, Asian Books, 2013.

Peer-reviewed journal articles:

Chaubey, Y. P., « Smooth kernel estimation of a circular density function: a connection to orthogonal polynomials on the unit circle », Journal of Probability and Statistics, 2018 (2018), 5372803, 4 p.
Chaubey, Y. P., Sen, D., Singh, M., « Symmetrizing and variance stabilizing transformations of sample coefficient of variation from inverse Gaussian distribution », Sankhyā. Series B, 79:2 (novembre 2017), 217–246.
Chaubey, Y. P., Chesneau, C., Navarro, F., « Linear wavelet estimation of the derivatives of a regression function based on biased data », Communications in Statistics. Theory and Methods, 46:19 (2017), 9541–9556.
Firinguetti, L., Rubio, H., Chaubey, Y. P., « A non stochastic ridge regression estimator and comparison with the James–Stein estimator », Communications in Statistics. Theory and Methods, 45:8 (2016), 2298–2310.
Chaubey, Y. P., Chesneau, C., Doosti, H., « Adaptive wavelet estimation of a density from mixtures under multiplicative censoring », Statistics, 49:3 (2015), 638–659.
Chaubey, Y. P., Shirazi, E., « On MISE of a nonlinear waveletestimator of the regression function based data under strong mixing », Communications in Statistics. Theory and Methods, 44:5 (2015), 885–899.
Chaubey, Y. P., Shirazi, E., « On wavelet estimation of the derivatives of a density based on biased data », Communications in Statistics. Theory and Methods, 44:21 (2015), 4491–4506.
Chaubey, Y. P., Zhang, R., « An extension of Chen’s family of survival distributions with bathtub shape or increasing hazard rate function », Comm. Statist. Theory Methods, 44:19 (2015), 4049–4064.
Chaubey, Y. P., Shirazi, E., « On MISE of a non linear wavelet estimator of the regression function based on biased data under strong mixing », Communications in Statistics. Theory and Methods, 44:5 (2015), 885–899.
Chaubey, Y. P., Sen, D., Saha, K., « On testing the coefficient of variation in an inverse Gaussian population », Statistics & Probability Letters, 90 (juillet 2014), 121–128.
Khurana, M., Chaubey, Y. P., Chandra, S., « Jackknifing the ridge regression estimator: A revisit », Communications in Statistics. Theory and Methods, 43: 24 (2014), 5249–5262.
Chaubey, Y. P., Singh, M., Sen, D., « On symmetrizing transformation of the sample coefficient of variation from a normal population », Communications in Statistics. Simulation and Computation, 42:9 (juin 2013), 2118–2134.
Chaubey, Y. P., Sen, P. K., « On nonparametric estimation of the density of a non-negative function of observations », Calcutta Statistical Association Bulletin, 65:1-4 (mars 2013), 75–101.
Chaubey, Y. P., Chesneau, C., Shirazi, E., « Wavelet-based estimation of regression function for dependent biased data under a given random design », Journal of Nonparametric Statistics, 25:1 (2013), 53–71.
Shirazi, E., Chaubey, Y. P., Doosti, H., Nirumand, H. A., « Wavelet based estimation for the derivative of a density by block thresholding under random censorship », Journal of Korean Statistical Society, 41:2 (juin 2012), 199–211.
Chaubey, Y. P., Laib, N., Li, J., « Generalized kernel regression estimator for dependent size-biased data », Journal of Statistical Planning and Inference, 142:3 (mars 2012), 708–727.
Chaubey, Y. P., Dewan, I., Li, J., « An asymmetric kernel estimator of density function for stationary associated sequences », Communications in Statistics. Simulation and Computation, 41:4 (2012), 554–572.
Chaubey, Y. P., Li, J., Sen, A., Sen, P. K., « A new smooth density estimator for non-negative random variables », Journal of the Indian Statistical Association, 50:1-2 (2012), 83–104.

Peer-reviewed conference proceedings:

Chaubey, Y. P., Khurana, M., Chandra, S., « Jackknifing stochastic restricted ridge estimator with heteroscedastic errors », in Some Recent Advances in Mathematics and Statistics, Statistics 2011 Canada/IMST 2011-FIM XX, Y. P. Chaubey, éd., Hackensack, NJ, World Sci. Publ., 2013, 45–59.

Fateh Chebana

Book chapters:

Genest, C., Chebana, F., « Copula modeling in hydrologic frequency analysis », in Handbook of Applied Hydrology, V. P. Singh, éd., New York, McGraw-Hill, 2017.
Chebana, F., « Multivariate analysis of hydrological variables », in Encyclopedia of Environmetrics, A. H. El-Shaarawi, W. W. Piegorsch, éd., Wiley, 2013.

Peer-reviewed journal articles:

Chiu, Y., Chebana, F., Abdous, B., Bélanger, D., Gosselin, P., « Mortality and morbidity peaks modeling: An extreme value theory approach », Statistical Methods in Medical Research, 27:5 (mai 2018), 1498–1512.
Masselot, P., Chebana, F., Bélanger, D., St-Hilaire, A., Abdous, B., Gosselin, P., Ouarda, T. B., « EMD-regression for modelling multi-scale relationships, and application to weather-related cardiovascular mortality », Science of The Total Environment, 612 (janvier 2018), 1018–1029.
Ben Alaya, M. A., Ouarda, T. B., Chebana, F., « Non-Gaussian spatiotemporal simulation of multisite daily precipitation: downscaling framework », Climate Dynamics, 50:1-2 (janvier 2018), 1–15.
Larabi, S., St-Hilaire, A., Chebana, F., Latraverse, M., « Multi-criteria process-based calibration using functional data analysis to improve hydrological model realism », Water Resources Management, 32:1 (janvier 2018), 195–211.
Rahman, A., Charron, C., Ouarda, T. B. M., Chebana, F., « Development of regional flood frequency analysis techniques using generalized additive models for Australia », Stochastic Environmental Research and Risk Assessment, 32:1 (janvier 2018), 123–139.
Vanasse, A., Talbot, D., Chebana, F., Bélanger, D., Blais, C., Gamache, P., Giroux, J.-X., Dault, R., Gosselin, P., « Effects of climate and fine particulate matter on hospitalizations and deaths for heart failure in elderly: A population-based cohort study », Environment International, 106 (septembre 2017), 257–266.
Requena, A. I., Ouarda, T. B. M., Chebana, F., « Flood frequency analysis at ungauged sites based on regionally estimated streamflows », Journal of Hydrometeorology, 18:9 (septembre 2017), 2521–2539.
Ouali, D., Chebana, F., Ouarda, T. B. M., « Fully nonlinear statistical and machine-learning approaches for hydrological frequency estimation at ungauged sites », Journal of Advances in Modeling Earth Systems, 9:2 (juin 2017), 1292–1306.
Chebana, F., Ben Aissia, M. A., Ouarda, T. B., « Multivariate shift testing for hydrological variables, review, comparison and application », Journal of Hydrology, 548 (mai 2017), 88–103.
Kwak, J., St-Hilaire, A., Chebana, F., Kim, G., « Summer season water temperature modeling under the climate change: case study for Fourchue River, Quebec, Canada », Water, 9:3 (mai 2017), 346, 16 p.
Benameur, S., Benkhaled, A., Meraghni, D., Chebana, F., Necir, A., « Complete flood frequency analysis in Abiod watershed, Biskra (Algeria) », Natural Hazards, 86:2 (mars 2017), 519–534.
Requena, A. I., Chebana, F., Ouarda, T. B. M., « Heterogeneity measures in hydrological frequency analysis: review and new developments », Hydrology and Earth System Sciences, 21:3 (mars 2017), 1651–1668.
Masselot, P., Chebana, F., Ouarda, T. B., « Fast and direct nonparametric procedures in the L-moment homogeneity test », Stochastic Environmental Research and Risk Assessment, 31:2 (février 2017), 509–522.
Kwak, J., St-Hilaire, A., Chebana, F., « A comparative study for water temperature modelling in a small basin, the Fourchue River, Quebec, Canada », Hydrological Sciences Journal, 62:1 (2017), 64–75.
Durocher, M., Chebana, F., Ouarda, T. B. M., « Delineation of homogenous regions using hydrological variables predicted by projection pursuit regression », Hydrology and Earth System Sciences, 20:12 (décembre 2016), 4717–4729.
Ben Alaya, M. A., Chebana, F., Ouarda, T. B. M., « Multisite and multivariable statistical downscaling using a Gaussian copula quantile regression model », Climate Dynamics, 47:5-6 (septembre 2016), 1383–1397.
Ouarda, T. B. M., Charron, C., Chebana, F., « Review of criteria for the selection of probability distributions for wind speed data and introduction of the moment and L-moment ratio diagram methods, with a case study », Energy Conversion and Management, 124 (septembre 2016), 247–265.
Wazneh, H., Chebana, F., Ouarda, T. B. M., « Identification of hydrological neighborhoods for regional flood frequency analysis using statistical depth function », Advances in Water Resources, 94 (août 2016), 251–263.
Masselot, P., Dabo-Niang, S., Chebana, F., Ouarda, T. B. M., « Streamflow forecasting using functional regression », Journal of Hydrology, 538 (juillet 2016), 754–756.
Ouali, D., Chebana, F., Ouarda, T. B. M., « Quantile regression in regional frequency analysis: a better exploitation of the available information », Journal of Hydrometeorology, 17:6 (juin 2016), 1869–1883.
Ouarda, T. B. M., Charron, C., Marpu, P. R., Chebana, F., « The generalized additive model for the assessment of the direct, diffuse, and global solar irradiances using SEVIRI images, with application to the UAE », IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9:4 (avril 2016), 1553–1566.
Requena, A. I., Chebana, F., Mediero Orduna, L. J., « A complete procedure for multivariate index-flood model application », Journal of Hydrology, 535 (avril 2016), 559–580.
Durocher, M., Lee, T. S., Ouarda, T. B. M., Chebana, F., « Hybrid signal detection approach for hydro-meteorological variables combining EMD and cross-wavelet analysis », International Journal of Climatology, 36:4 (mars 2016), 1600–1613.
Durocher, M., Chebana, F., Ouarda, T. B. M., « On the prediction of extreme flood quantiles at ungauged locations with spatial copula », Journal of Hydrology, 533 (février 2016), 523–532.
Ouali, D., Chebana, F., Ouarda, T. B. M., « Non-linear canonical correlation analysis in regional frequency analysis », Stochastic Environmental Research and Risk Assessment, 30:2 (février 2016), 449–462.
Vanasse, A., Cohen, A., Courteau, J., Bergeron, P., Dault, R., Gosselin, P., Blais, C., Bélanger, D., Rochette, L., Chebana, F., « Association between floods and acute cardiovascular diseases: a population-based cohort study using a geographic information system approach », International Journal of Enviromental Research and Public Health, 13:2 (février 2016), 168, 12 p.
Ternynck, C., Ben Alaya, M. A., Chebana, F., Dabo-Niang, S., Ouarda, T. B. M., « Streamflow hydrograph classification using functional data analysis », Journal of Hydrometeorology, 17:1 (janvier 2016), 327–344.
Hamdi, Y., Chebana, F., Ouarda, T. B. M., « Bivariate drought frequency analysis in the Medjerda River Basin, Tunisia », Journal of Civil & Environmental Engineering, 6 (2016), 226, 11 p.
Singh, S. K., McMillan, H., Bárdossy, A., Chebana, F., « Nonparametric catchment clustering using the data depth function », Hydrological Sciences Journal, 61:15 (2016), 2649–2667.
Alobaidi, M. H., Marpu, P. R., Ouarda, T. B. M., Chebana, F., Martel, B., « Regional frequency analysis at ungauged sites using a two-stage resampling generalized ensemble framework », Advances in Water Resources, 84 (octobre 2015), 103–111.
Durocher, M., Chebana, F., Ouarda, T. B. M., « A nonlinear approach to regional flood frequency analysis using projection pursuit regression », Journal of Hydrometeorology, 16:4 (août 2015), 1561–1574.
Ben Alaya, M. A., Chebana, F., Ouarda, T. B. M., « Probabilistic multisite statistical downscaling for daily precipitation using a Bernoulli-generalized Pareto multivariate autoregressive model », Journal of Climate, 28:6 (mars 2015), 2349–2364.
Wazneh, H., Chebana, F., Ouarda, T. B. M., « Delineation of homogeneous regions for regional frequency analysis using statistical depth function », Journal of Hydrology, 521 (février 2015), 232–244.
Lekina, A., Chebana, F., Ouarda, T. B. M., « On the tail dependence in bivariate hydrological frequency analysis », Dependence Modeling, 3:1 (janvier 2015), 203–227.
Ben Aissia, M. A., Chebana, F., Ouarda, T. B. M., Pruneau, P., Barbet, M., « Bivariate index-flood model: case study in Québec, Canada », Hydrological Sciences Journal, 60:2 (2015).
Brahimi, B., Chebana, F., Necir, A., « Copula representation of bivariate L-moments: a new estimation method for multiparameter two-dimensional copula models », Statistics, 49:3 (2015), 497–521.
Chebana, F., Charron, C., Ouarda, T. B. M., « Regional frequency analysis at ungauged sites with the generalized additive model », Journal of Hydrometeorology, 15:6 (décembre 2014), 2418–2428.
Ben Aissia, M. A., Chebana, F., Ouarda, T. B. M., Roy, L., Bruneau, P., Barbet, M., « Dependence evolution of hydrological characteristics, applied to floods in a climate change context in Quebec », Journal of Hydrology, 519:Part A (novembre 2014), 148–163.
Benkhaled, A., Higgins, H., Chebana, F., Necir, A., « Frequency analysis of annual maximum suspended sediment concentrations in Abiod wadi, Biskra (Algeria) », Hydrological Processes, 28;12 (juin 2014), 3841–3854.
Ben Alaya, M. A., Chebana, F., Ouarda, T. B. M., « Probabilistic Gaussian copula regression model for multisite and multivariable downscaling », Journal of Climate, 27:9 (mai 2014), 3331–3347.
Lekina, A., Chebana, F., Ouarda, T. B. M., « Weighted estimate of extreme quantile: An application to the estimation of high flood return periods », Stochastic Environmental Research and Risk Assessment, 28:2 (février 2014), 147–165.
Lee, T., Ouarda, T. B. M., Chebana, F., Park, D., « Evaluation of a depth-based multivariate $k$-nearest neighbor resampling method with stormwater quality data », Mathematical Problems in Engineering, 2014 (2014), 404198, 7 p.
Wazneh, H., Chebana, F., Ouarda, T. B. M., « Depth-based regional index-flood model », Water Resources Research, 49:12 (décembre 2013), 7957–7972.
Chebana, F., Martel, B., Gosselin, P., Giroux, J.-X., Ouarda, T. B. M., « A general and flexible methodology to define thresholds for heat health watch and warning systems, applied to the province of Québec (Canada) », International Journal of Biometeorology, 57:4 (juillet 2013), 631–644.
Wazneh, H., Chebana, F., Ouarda, T. B. M., « Optimal depth-based regional frequency analysis », Hydrology and Earth System Sciences, 17:6 (juin 2013), 2281–2296.
Chebana, F., Ouarda, T. B. M., Duong, T. C., « Testing for multivariate trends in hydrologic frequency analysis », Journal of Hydrology, 486 (avril 2013), 519–530.
Bustinza, R., Lebel, G., Gosselin, P., Bélanger, D., Chebana, F., « Health impacts of the July 2010 heat wave in Québec, Canada », BMC Public Health, 13 (2013), 56, 7 p.
Vanasse, A., Orzanco, M. G., Dagenais, P., Ouarda, T. B. M., Courteau, J., Asghari, S., Chebana, F., Martel, B., Gosselin, P., « Secular trends of hip fractures in Québec, Canada », Osteoporosis International, 23:6 (juin 2012), 1665–1672.
Chebana, F., Dabo-Niang, S., Ouarda, T. B. M., « Exploratory functional flood frequency analysis and outlier detection », Water Resources Research, 48:4 (avril 2012), W04514, 20 p.
Ben Aissia, M. A., Chebana, F., Ouarda, T. B. M., Roy, L., Desrochers, G., Chartier, I., Robichaud, É., « Multivariate analysis of flood characteristics in a climate change context of the watershed of the Baskatong reservoir, Province of Québec, Canada », Hydrological Processes, 26:1 (janvier 2012), 130–142.

Ting-Huei Chen

Peer-reviewed journal articles:

Chen, T.-H., Sun, W., « Prediction of cancer drug sensitivity using high-dimensional omic features », Biostatistics, 18:1 (janvier 2017), 1–14.
Arterberry, B. J., Chen, T.-H., Vergés, A., Bollen, K. A., Martens, M. P., « How should alcohol problems be conceptualized? Causal indicators within the Rutgers Alcohol Problem Index », Evaluation & the Health Professions, 39:3 (septembre 2016), 356–378.
Sharma, V., Collins, L. B., Chen, T.-H., Herr, N., Takeda, S., Sun, W., Swenberg, J. A., Nakamura, J., « Oxidative stress at low levels can induce clustered DNA lesions leading to NHEJ mediated mutations », Oncotarget, 7:18 (2016), 25377–25390.
Chen, T.-H., Sun, W., Fine, J., « Designing penalty functions in high dimensional problems: The role of tuning parameters », Electronic Journal of Statistics, 10:2 (2016), 2312–2328.
Sun, W., Liu, Y., Crowley, J. J., Chen, T.-H., Zhou, H., Chu, H., Huang, S., Kuan, P.-f., Li, Y., Miller, D., Shaw, G., Wu, Y., Zhabotynsky, V., McMillan, L., Zou, F., Sullivan, P. F., Pardo-Manuel de Villena, F., « IsoDOT detects differential RNA-isoform usage with respect to a categorical or continuous covariate with high sensitivity and specificity », Journal of the American Statistical Association, 110 (2015), 975–986.
Wright, F. A., Sullivan, P. F., Brooks, A. I., Zou, F., Sun, W., Xia, K., Madar, V., Jansen, R., Chung, W., Zhou, Y.-H., Abdellaoui, A., Batista, S., Butler, C., Chen, G., Chen, T.-H., D’Ambrosio, D., Gallins, P., Ha, M. J., Hottenga, J. J., Huang, S., Kattenberg, M., Kochar, J., Middeldorp, C. M., Qu, A., Shabalin, A., Tischfield, J., Todd, L., Tzeng, J.-Y., van Grootheest, G., Vink, J. M., Wang, Q., Wang, W., Wang, W., Willemsen, G., Smit, J. H., de Geus, E. J., Yin, Z., Penninx, B. W. J., Boomsma, D. I., « Heritability and genomics of gene expression in peripheral blood », Nature Genetics, 46:5 (mai 2014), 430–437.

Jean-François Coeurjolly

Peer-reviewed journal articles:

Coeurjolly, J.-F., Porcu, E., « Fast and exact simulation of complex-valued stationary Gaussian processes through embedding circulant matrix », Journal of Computational and Graphical Statistics (XXXX).
Coeurjolly, J.-F., Lavancier, F., « Intensity approximation for pairwise interaction Gibbs point processes using determinantal point processes », Electronic Journal of Statistics, 12:2 (2018), 3181–3203.
Coeurjolly, J.-F., Porcu, E., « Fast and exact simulation of complex-valued stationary Gaussian processes through embedding circulant matrix », Journal of Computational and Graphical Statistics, 27:2 (2018), 278–290.
Choiruddin, A., Coeurjolly, J.-F., Letue, F., « Convex and non-convex regularization methods for spatial point processes intensity estimation », Electronic Journal of Statistics, 12:1 (2018), 1210–1255.
Coeurjolly, J.-F., Møller, J., Waagepetersen, R., « A tutorial on Palm distributions for spatial point processes », International Statistical Review / Revue internationale de statistique, 85:3 (décembre 2017), 404–420.
Coeurjolly, J.-F., Porcu, E., « Properties and Hurst exponent estimation of the circularly-symmetric fractional Brownian motion », Statistics & Probability Letters, 128 (septembre 2017), 21–27.
Coeurjolly, J.-F., Lavancier, F., « Parametric estimation of pairwise Gibbs point processes with infinite range interaction », Bernoulli, 23:2 (mai 2017), 1299–1334.
Coeurjolly, J.-F., « Median-based estimation of the intensity of a spatial point process », Annals of the Institute of Statistical Mathematics, 69:2 (avril 2017), 303–311.
Coeurjolly, J.-F., Møller, J., Waagepetersen, R., « Palm distributions for log Gaussian Cox processes », Scandinavian Journal of Statistics. Theory and Applications, 44:1 (mars 2017), 192–203.
Biscio, C. A. N., Coeurjolly, J.-F., « Standard and robust intensity parameter estimation for stationary determinantal point processes », Spatial Statistics, 18:Part A (novembre 2016), 24–39.
Coeurjolly, J.-F., Guan, Y., Khanmohammadi, M., Waagepetersen, R., « Towards optimal Takacs–Fiksel estimation », Spatial Statistics, 18, Part B (novembre 2016), 396–411.
Clausel, M., Coeurjolly, J.-F., Lelong, J., « Stein estimation of the intensity of a spatial homogeneous Poisson point process », The Annals of Applied Probability, 26:3 (juin 2016), 1495–1534.
Boulanger, J., Seifert, L., Hérault, R., Coeurjolly, J.-F., « Automatic sensor-based detection and classification of climbing activities », IEEE Sensors Journal 16:3 (février 2016), 742–749.
Coeurjolly, J.-F., « Almost sure behavior of functionals of stationary Gibbs point processes », Statistics & Probability Letters, 97 (février 2015), 241–246.
Coeurjolly, J.-F., Guan, Y., « Covariance of empirical functionals for inhomogeneous spatial point processes when the intensity has a parametric form », Journal of Statistical Planning and Inference, 155 (décembre 2014), 79–92.
Coeurjolly, J.-F., Møller, J., « Variational approach for spatial point process intensity estimation », Bernoulli, 20:3 (août 2014), 1097–1125.
Baddeley, A. J., Coeurjolly, J.-F., Rubak, E., Waagepetersen, R., « Logistic regression for spatial Gibbs point processes », Biometrika, 101:2 (juin 2014), 377–392.
Coeurjolly, J.-F., Lee, K., Vidakovic, B., « Variance estimation for fractional Brownian motions with fixed Hurst parameters », Communications in Statistics. Theory and Methods, 43:8 (2014), 1845–1858.
Dovgalecs, V., Boulanger, J., Orth, D., Hérault, R., Coeurjolly, J.-F., Davids, K., Seifert, L., « Movement phase detection in climbing », Sport Technology, 7:3-4 (2014), 174–182.
Coeurjolly, J.-F., Rubak, E., « Fast covariance estimation for innovations computed from a spatial Gibbs point process », Scandinavian Journal of Statistics. Theory and Applications, 40:4 (décembre 2013), 669–684.
Coeurjolly, J.-F., Morsli, N., « Poisson intensity parameter estimation for stationary Gibbs point processes of finite interaction range », Spatial Statistics, 4 (mai 2013), 45–56.
Coeurjolly, J.-F., Lavancier, F., « Residuals and goodness-of-fit tests for stationary marked Gibbs point processes », Journal of the Royal Statistical Society. Series B. Statistical Methodology, 75:2 (mars 2013), 247–276.
Coeurjolly, J.-F., Amblard, P.-O., Achard, S., « Wavelet analysis of the multivariate fractional Brownian motion », ESAIM: Probability and Statistics, 17 (2013), 592–604.
Seifert, L., Coeurjolly, J.-F., Hérault, R., Wattebled, L., Davids, K., « Temporal dynamics of inter-limb coordination in ice climbing revealed through change-point analysis of the geodesic mean of circular data », Journal of Applied Statistics, 40:11 (2013), 2317–2331.
Seifert, L., Coeurjolly, J.-F., Hérault, R., Wattebled, L., Davids, K., « Temporal dynamics of inter-limb coordination in ice climbing revealed through change-point analysis of the geodesic mean of circular data », Journal of Applied Statistics, 40:11 (2013), 2317–2331.
Coeurjolly, J.-F., Le Bihan, N., « Geodesic normal distribution on the circle », Metrika, 75:7 (octobre 2012), 977–995.
Coeurjolly, J.-F., Nguile Makao, M., Timsit, J.-F., Liquet, B., « Attributable risk estimation for adjusted disability multistate models: Application to nosocomial infections », Biometrical Journal, 54:5 (septembre 2012), 600–616.
Coeurjolly, J.-F., Dereudre, D., Drouilhet, R., Lavancier, F., « Takacs–Fiksel method for stationary marked Gibbs point processes », Scandinavian Journal of Statistics. Theory and Applications, 39:3 (septembre 2012), 416–443.
Breton, J.-C., Coeurjolly, J.-F., « Confidence intervals for the Hurst parameter of a fractional Brownian motion based on finite sample size », Statistical Inference for Stochastic Processes, 15:1 (avril 2012), 1–26.
Coeurjolly, J.-F., Kortas, H., « Expectiles for subordinated Gaussian processes with applications », Electronic Journal of Statistics, 6 (2012), 303–322.

Peer-reviewed conference proceedings:

Amblard, P.-O., Coeurjolly, J.-F., Lavancier, F., Philippe, A., « Basic properties of the multivariate fractional Brownian motion », in Self-Similar Processes and Their Applications, Self-Similar Processes and Their Applications (Angers, 2009), L. Chaumont, P. Graczyk, L. Vostrikova, éd., Séminaires et Congrès, Vol. 28, Paris, Soc. Math. France, 2013, 65–87.

Marie-Hélène Descary

Research reports:

Larribe, F., Descary, M.-H., « DMap: a coalescent methodology for genetic mapping of a complex trait », UQAM, 2014, 30 p.

Pierre Duchesne

Peer-reviewed journal articles:

Duchesne, P., Lafaye de Micheaux, P., Tagne Tatsinkou, J. F., « Estimating the mean and its effects on Neyman smooth tests of normality for ARMA models », The Canadian Journal of Statistics / La revue canadienne de statistique, 44:3 (septembre 2016), 241–270.
Duchesne, P., Francq, C., « Multivariate hypothesis testing using generalized and $\{2\}$-inverses—with applications », Statistics, 49:3 (2015), 475–496.
Li, L., Yao, S., Duchesne, P., « On wavelet-based testing for serial correlation of unknown form using Fan’s adaptive Neyman method », Computational Statistics & Data Analysis, 70 (février 2014), 308–327.
Dongmo Jiongo, V., Haziza, D., Duchesne, P., « Controlling the bias of robust small-area estimators », Biometrika, 100:4 (décembre 2013), 843–858.
Duchesne, P., Lafaye de Micheaux, P., « Distributions for residual autocovariances in parsimonious periodic vector autoregressive models with applications », Journal of Time Series Analysis, 34:4 (juillet 2013), 496–507.
Nkwimi Tchahou, H., Duchesne, P., « On testing for causality in variance between two multivariate time series », Journal of Statistical Computation and Simulation, 83:11 (2013), 2064–2092.
Duchesne, P., Ghoudi, K., Rémillard, B., « On testing for independence between the innovations of several time series », The Canadian Journal of Statistics / La revue canadienne de statistique, 40:3 (septembre 2012), 447–479.

Peer-reviewed conference proceedings:

Duchesne, P., Hong, Y., « On diagnostic checking autoregressive conditional duration models with wavelet-based spectral density estimators », in Advances in Time Series Methods and Applications, W. K. Li, D. A. Stanford, H. Yu, éd., Fields Institute Communications, Vol. 78, New York, Springer, 2016, 47–106.
Haziza, D., Dongmo Jiongo, V., Duchesne, P., « Inférence triplement robuste en présence de données manquantes », Journées de méthodologie statistique — JMS 2012 (Paris, 2012), 2012.

Research reports:

Duchesne, P., Lafaye de Micheaux, P., Tagne Tatsinkou, J. F., « On strong consistency and asymptotic normality of one-step Gauss–Newton estimators in ARMA time series models », Centre de recherches mathématiques, CRM-3371, janvier 2019.

Thierry Duchesne

Peer-reviewed journal articles:

Craiu, V. R., Duchesne, T., « A scalable and efficient covariate selection criterion for mixed effects regression models with unknown random effects structure », Computational Statistics & Data Analysis, 117 (janvier 2018), 154–161.
Lakhal Chaieb, L., Duchesne, T., « Association measures for bivariate failure times in the presence of a cure fraction », Lifetime Data Analysis, 23:4 (octobre 2017), 517–532.
Nicosia, A., Duchesne, T., Rivest, L.-P., Fortin, D., « A multi-state conditional logistic regression model for the analysis of animal movement », The Annals of Applied Statistics, 11:3 (septembre 2017), 1537–1560.
Nicosia, A., Duchesne, T., Rivest, L.-P., Fortin, D., « A general hidden state random walk model for animal movement », Computational Statistics & Data Analysis, 105 (janvier 2017), 76–95.
Dehghan, M. H., Duchesne, T., « Erratum to “On the performance of some non-parametric estimators of the conditional survival function with interval-censored data’” [Comput. Statstic. Data Anal. 55 (12) (2011) 3355–3364] », Computational Statistics & Data Analysis, 104 (décembre 2016), 247.
Dehghan, M. H., Duchesne, T., « Estimation of the conditional survival function of a failure time given a time-varying covariate with interval-censored observations », Journal of Iranian Statistical Society (JIRSS), 15:1 (juillet 2016), 1–28.
Rivest, L.-P., Duchesne, T., Nicosia, A., Fortin, D., « A general angular regression model for the analysis of data on animal movement in ecology », Journal of the Royal Statistical Society. Series C. Applied Statistics, 65:3 (avril 2016), 445–463.
Bureau, A., Duchesne, T., « On the validity of within-nuclear-family genetic association analysis in samples of extended families », Statistical Applications in Genetics and Molecular Biology, 14:6 (décembre 2015), 533–549.
Thamattoor, U. K., Thomas, T., Banandur, P., Potty, R. S., Duchesne, T., Abdous, B., Washington, R., Ramesh, B. M., Moses, S., Alary, M., « Multilevel analysis of the predictors of HIV prevalence among pregnant women enrolled in sentinel surveillance in four southern India », PLoS One, 10:7 (juillet 2015), e0131629, 11 p.
Duchesne, T., Fortin, D., Rivest, L.-P., « Equivalence between step selection functions and biased correlated random walks for statistical inference on animal movement », PLoS One, 10:4 (avril 2015), e0122947, 12 p.
Nielsen, J. D., Rosenthal, J. S., Sun, Y., Day, D. M., Bevc, I., Duchesne, T., « Group-based criminal trajectory analysis using cross-validation criteria », Communications in Statistics. Theory and Methods, 43:20 (octobre 2014), 4337–4356.
Alary, M., Banandur, P., Thamattoor, U. K., Mainkar, M. K., Paranjape, R., Adhikary, R., Duchesne, T., Isac, S., Moses, S., Rajaram, S. P., « Increased HIV prevention program coverage and decline in HIV prevalence among female sex workers in South India », Sexually Transmitted Diseases, 41:6 (juin 2014), 380–387.
Trudel, D., Labbé, D. P., Araya-Farias, M., Doyen, A., Bazinet, L., Duchesne, T., Plante, M., Grégoire, J., Renaud, M.-C., Bachvarov, D., Têtu, B., Bairati, I., « A 2-Stage, Single-Arm, Phase 2 Study of Epigallocatechin Gallate–Enriched Green Tea Drink as a Maintenance Therapy in Women With Advanced-Stage Ovarian Cancer », Gynecologic Oncology 69:4 (avril 2014), 207–208.
Duchesne, T., Abdous, B., Lowndes, C., Alary, M., « Assessing outcomes of large-scale public health interventions in the absence of baseline data using a mixture of Cox and binomial regressions », BMC Medical Research Methodology, 14 (janvier 2014), 2, 11 p.
Trudel, D., Labbé, D. P., Araya-Farias, M., Doyen, A., Bazinet, L., Duchesne, T., Plante, M., Grégoire, J., Renaud, M.-C., Bachvarov, D., Têtu, B., Bairati, I., « A two-stage, single-arm, phase II study of EGCG-enriched gree tea drink as a maintenance therapy in women with advanced stage ovarian cancer », Gynecologic Oncology 131:2 (novembre 2013), 357–361.
Lakhal Chaieb, L., Abdous, B., Duchesne, T., « Nonparametric estimation of the conditional survival function for bivariate failure times », The Canadian Journal of Statistics / La revue canadienne de statistique, 41:3 (septembre 2013), 439–452.
Simonyan, D., Gagnon, M.-P., Duchesne, T., Roos-Weil, A., « Effects of a telehealth programme using mobile data transmission on primary healthcare utilisation among children in Ramako,Mali », Journal of Telemedicine and Telecare 19:6 (septembre 2013), 302–306.
Banandur, P., Mahajan, U., Potty, R. S., Isac, S., Duchesne, T., Abdous, B., Ramesh, B. M., Moses, S., Alary, M., « Population-level impact of Avahan in Karnataka state, south India using multilevel statistical modelling techiniques », JAIDS Journal of Acquired Immune Deficiency Syndromes, 62:2 (février 2013), 239–245.
Day, D. M., Nielsen, J. D., Ward, A. K., Sun, Y., Rosenthal, J. S., Duchesne, T., Bevc, I., Rossman, L., « Long-term follow-up of criminal activity with adjudicated youth in Ontario: Identifying offence trajectories and predictors correlates of trajectory group membership », Canadian Journal of Criminology and Criminal Justice / Revue canadienne de criminologie et de justice pénale, 54:4 (octobre 2012), 377–413.
Moreau, G., Fortin, D., Couturier, S., Duchesne, T., « Multi-level functional responses for wildlife conservation: the case of threatened caribou in managed boreal forests », Journal of Applied Ecology, 49:3 (juin 2012), 611–620.

Research reports:

Duchesne, T., Rémillard, B., Marcotte, O., « Septième atelier de résolution de problèmes industriels de Montréal / Seventh Montréal Industrial Problem Solving Workshop », Centre de recherches mathématiques, CRM-3358, avril 2017.

Debbie J. Dupuis

Peer-reviewed journal articles:

Bee, M., Dupuis, D. J., Trapin, L., « Realized extreme quantile: a joint model for conditional quantiles and measures of volatility with EVT refinements », Journal of Applied Econometrics, 33:3 (2018), 398–415.
Dupuis, D. J., « Electricity price dependence in New York State zones: A robust detrended correlation approach », The Annals of Applied Statistics, 11:1 (mars 2017), 248–273.
Bee, M., Dupuis, D. J., Trapin, L., « US stock returns: are there seasons of excesses? », Quantitative Finance, 16:9 (2016), 1453–1464.
Dupuis, D. J., Gauthier, G., Godin, F., « Short-term hedging for an electricity retailer », The Energy Journal, 37:2 (2016), 31–59.
Dupuis, D. J., Papageorgiou, N., Rémillard, B., « Robust conditional variance and value-at-risk estimation », Journal of Financial Econometrics 13:4 (septembre 2015), 896–921.
Dupuis, D. J., Sun, Y., Wang, H., « Detecting change-points in extremes », Statistics and Its Interface, 8:1 (2015), 19–31.
Tsai, Y.-L., Dupuis, D. J., Murdoch, D. J., « A robust test for asymptotic independence of bivariate extremes », Statistics, 47:1 (2013), 172–183.
Dupuis, D. J., Victoria-Feser, M.-P., « Robust VIF regression with application to variable selection in large data sets », The Annals of Applied Statistics, 7:1 (2013), 319–341.
Dupuis, D. J., « Modeling waves of extreme temperature: the changing tails of four cities », Journal of the American Statistical Association, 107:497 (2012), 24–39.

Sorana Froda

Peer-reviewed journal articles:

Ait Kaci Azzou, S., Larribe, F., Froda, S., « Inferring the demographic history from DNA sequences: An importance sampling approach based on non-homogeneous processes », Theoretical Population Biology, 111 (octobre 2016), 16–27.
Ait Kaci Azzou, S., Larribe, F., Froda, S., « A new method for estimating the demographic history from DNA sequences: an importance sampling approach », Frontiers in Genetics, 6 (août 2015), 259, 13 p.
Froda, S., Leduc, H., « Estimating the basic reproduction number from surveillance data on past epidemics », Mathematical Biosciences, 256 (octobre 2014), 89–101.
Froda, S., Vanciu, V., « A bivariate non-homogeneous birth and death model for predator-prey interactions », Statistics & Probability Letters, 83:11 (novembre 2013), 2526–2530.
Froda, S., Ferland, R., « Estimating the parameters of a Poisson process model for predator-prey interactions », Statistics & Probability Letters, 82:12 (décembre 2012), 2252–2259.

Christian Genest

Monographs and books:

Lin, X., Genest, C., Banks, D., Molenberghs, G., Scott, D. W., Wang, J.-L. (EDT), Past, present, and future of statistical science, London, Chapman and Hall, 2014.
Reid, N. M., Adem, A., Bierstone, E., Campbell, E., Dean, C. R., Genest, C., Kamran, N., Kuske, R., Lewis, M., Ivanoff, G., Thompson, A.-M., Solutions for a Complex Age: Long Range Plan for Mathematical and Statistical Science Researchin Canada: 2013-2018, 2012.

Book chapters:

Genest, C., Chebana, F., « Copula modeling in hydrologic frequency analysis », in Handbook of Applied Hydrology, V. P. Singh, éd., New York, McGraw-Hill, 2017.
Genest, C., Nešlehová, J., « Modeling dependence beyond correlation », in Statistics in Action: A Canadian Outllook, J. F. Lawless, éd., Boca Raton FL, CRC Press, 2014.
Genest, C., Nešlehová, J., « Copulas and copula models », in Encyclopedia of Environmetrics, Second Edition, Abdel H. El-Shaarawi Walter W. Piegorsch, éd., Chichester, John Wiley & Sons, Ltd, 2013.
Genest, C., Nešlehová, J., « Copula modeling for extremes », in Encyclopedia of Environmetrics, Second Edition, Abdel H. El-Shaarawi Walter W. Piegorsch, éd., Chichester, John Wiley & Sons, Ltd, 2013.

Peer-reviewed journal articles:

Genest, C., Nešlehová, J., Rivest, L.-P., « The class of multivariate max-id copulas with $\ell_1$-norm symmetric exponent measure », Bernoulli, 24:4B (novembre 2018), 3751–3790.
Genest, C., Mesfioui, M., Schulz, J., « A new bivariate Poisson common shock model covering all possible degrees of dependence », Statistics & Probability Letters, 140 (septembre 2018), 202–209.
Genest, C., Nešlehová, J., Rémillard, B., « Asymptotic behavior of the empirical multilinear copula process under broad conditions », Journal of Multivariate Analysis, 159 (juillet 2017), 82–110.
Aissaoui, S. A., Genest, C., Mesfioui, M., « A second look at inference for bivariate Skellam distributions », Stat, 6:1 (2017), 79–87.
Côté, M.-P., Genest, C., Abdallah, A., « Rank-based methods for modeling dependence between loss triangles », European Actuarial Journal 6:2 (décembre 2016), 377–408.
Garrido, J., Genest, C., Schulz, J., « Generalized linear models for dependent frequency and severity of insurance claims », Insurance: Mathematics & Economics, 70 (septembre 2016), 205–215.
Côté, M.-P., Genest, C., « A copula-based risk aggregation model », The Canadian Journal of Statistics / La revue canadienne de statistique, 43:1 (mars 2015), 60–81.
Cormier, E., Genest, C., Nešlehová, J., « Using B-splines for nonparametric inference on bivariate extreme-value copulas », Extremes, 17:4, Extremes in Finance (décembre 2014), 633–659.
Genest, C., Nešlehová, J., « On tests of radial symmetry for bivariate copulas », Statistical Papers, 55 (novembre 2014), 1107–1119.
Genest, C., Nešlehová, J., « A conversation with James O. Ramsay », International Statistical Review / Revue internationale de statistique, 82:2 (août 2014), 161–183.
Genest, C., Mesfioui, M., « Bivariate extensions of Skellam’s distribution », Probability in the Engineering and Informational Sciences, 28:3 (juillet 2014), 401–417.
Charpentier, A., Fougères, A.-L., Genest, C., Nešlehová, J., « Multivariate Archimax copulas », Journal of Multivariate Analysis, 126 (avril 2014), 118–136.
Genest, C., Nešlehová, J., Rémillard, B., « On the empirical multilinear copula process for count data », Bernoulli, 20:3 (2014), 1344–1371.
Genest, C., « Book review of “Extreme value methods with applications to finance” », Journal of the American Statistical Association, 108:503 (septembre 2013), 1133–1134.
Genest, C., Brackstone, G., « Obituary: Martin B. Wilk », ISM Bulletin, 42:4 (juillet 2013), 7–8.
Genest, C., Nešlehová, J., Rémillard, B., « On the estimation of Spearman’s rho and related tests of independence for possibly discontinuous multivariate data », Journal of Multivariate Analysis, 117 (mai 2013), 214–228.
Genest, C., Haguel, M.-J., « Des théories et des modèles au secours de la planète », Bulletin AMQ, LIII:2 (mai 2013), 8–10.
Genest, C., Carabarin Aguirre, A., « A digital picture of the actuarial research community », North American Actuarial Journal, 17:1 (2013), 3–12.
Genest, C., Carabarin Aguirre, A., Harvey, F., « Copula parameter estimation using Blomqvist’s beta », Journal de la Société Française de Statistique, 154:1 (2013), 5–24.
Genest, C., Huang, W., Dufour, J.-M., « A regularized goodness-of-fit test for copulas », Journal de la Société Française de Statistique, 154:1 (2013), 64–77.
Genest, C., Nikolilopoulos, A., Rivest, L.-P., Fortin, M., « Predicting dependent binary outcomes through logistic regressions and meta-elliptical copulas », Brazilian Journal of Probability and Statistics, 27:3 (2013), 265–284.
Acar, E. F., Genest, C., Nešlehová, J., « Beyond simplified pair-copula constructions », Journal of Multivariate Analysis, 110, Special issue on copula modeling and dependence (septembre 2012), 74–90.
Genest, C., Nešlehová, J., Quessy, J.-F., « Tests of symmetry for bivariate copulas », Annals of the Institute of Statistical Mathematics, 64:4 (août 2012), 811–834.

Other journal articles:

Genest, C., « Jerald F. Lawless becomes an honorary member of the SSC », Liaison, 28:3 (août 2014), 33–35.
Genest, C., Nešlehová, J., « James O. Ramsay: Honorary Member of the SSC », SSC Liaison, 26:3 (août 2014), 24–26.
Genest, C., « Derek Bingham en quête de l’émulateur parfait », Bulletin du CRM, 20:1 (avril 2014), 19.
Lin, X., Genest, C., Banks, D., Molenberghs, G., Scott, D., Wang, J.-L., « COPSS 50th Anniversary Volume: Past, Present and Future of Statistical Science », Amstat News, 442 (avril 2014), 21.
Lin, X., Genest, C., Banks, D., Molenberghs, G., Scott, D., Wang, J.-L., « COPSS 50th Anniversary Volume », IMS Bulletin, 43:3 (mars 2014), 15.
Brackstone, G., Genest, C., « Obituaries: Martin B. Wilk (1922-2013) », Journal of the Royal Statistical Society. Series A. Statistics in Society, 176:4 (octobre 2013), 1078–1079.
Genest, C., « Where Ignorance is Bliss », CMS Notes, 45:4 (septembre 2013), 22–23.
Genest, C., Nešlehová, J., « Königsberg’s bridges, Holland’s dikes, and Wall Street’s downfall / Les ponts de Königsberg. les digues de Hollande et la chute de Wall Street », SSC Liaison, 27:3 (août 2013), 56–58.
Genest, C., « Nouvelles du Laboratoire de statistique du CRM », Bulletin du CRM, 18:2 (septembre 2012), 20.
Genest, C., Stephens, D. A., « Changbao Wu: Winner of the 2012 CRM-SSC prize/Lauréat du prix CRM-SSC 2012 », SSC Liaison, 26:2 (mai 2012), 32–33.
Genest, C., « Don Fraser appointed as Officer of the Order of Canada/ Don Fraser nommé Officier de l’Ordre du Canada », SSC Liaison, 26:1 (février 2012), 46–47.

Peer-reviewed conference proceedings:

Genest, C., Nešlehová, J., « When Gumbel met Galambos », in Copulas and Dependence Models with Applications, M. Úbeda Flores, E. de Amo Artero, F. Durante, J. Fernández Sánchez, éd., Cham, Springer, 2017, 83–93.
Genest, C., Nešlehová, J., « Assessing and modeling asymmetry in bivariate continuous data », in Copulae in Mathematical and Quantitative Finance, Proceedings of the Workshop Held in Cracow, 10-11 July 2012, P. Jaworski, F. Durante, W. K. Härdle, éd., Lectures Notes in Statistics, Vol. 213, Berlin, Springer, 2013, 91–114.

Celia M. T. Greenwood

Peer-reviewed journal articles:

Turgeon, M., Oualkacha, K., Ciampi, A., Miftah, H., Dehghan, G., Zanke, B. W., Benedet, A., Rosa-Neto, P., Greenwood, C. M. T., Labbe, A., et al., « Principal component of explained variance: An efficient and optimal data dimension reduction framework for association studies », Statistical Methods in Medical Research, 27:5 (mai 2018), 1331–1350.
Lakhal Chaieb, L., Greenwood, C. M. T., Ouhourane, M., Zhao, K., Abdous, B., Oualkacha, K., « A smoothed EM-algorithm for DNA methylation profiles from sequencing-based methods in cell lines or for a single cell type », Statistical Applications in Genetics and Molecular Biology, 16:5-6 (décembre 2017), 333–347.
Sun, J., Oualkacha, K., Forgetta, V., Zheng, H.-F., Ciampi, A., Greenwood, C. M. T., et al., « A method for analyzing multiple continuous phenotypes in rare variant association studies allowing for flexible correlations in variant effects », European Journal of Human Genetics, 24:9 (août 2016), 1344–1351.
Lakhal Chaieb, L., Oualkacha, K., Richards, B., Greenwood, C. M. T., « A rare variant association test in family-based designs and non-normal quantitative traits », Statistics in Medicine, 35:6 (mars 2016), 905–921.
Sun, J., Bhatnagar, S., Oualkacha, K., Ciampi, A., Greenwood, C. M. T., « Joint analysis of multiple blood pressure phenotypes in GAW19 data by using a multivariate rare-variant association test », BMC Proceedings, 10:Suppl. 7 (2016), 309–313.
Walter, K., Min, J. L., Huang, J., Crooks, L., Memari, Y., McCarthy, S., Perry, J. R. B., Xu, C., Futema, M., Lawson, D., Iotchkova, V., Schiffels, S., Hendricks, A. E., Danecek, P., Li, R., Floyd, J., Wain, L. V., Barroso, I., Humphries, S. E., Hurles, M. E., Zeggini, E., Barrett, J. C., Plagnol, V., Richards, J. B., Greenwood, C. M. T., Timpson, N. J., Durbin, R., Soranzo, N., Oualkacha, K., et al., « The UK10K project identifies rare variants in health and disease », Nature, 526 (octobre 2015), 82–90.
Dufresne, L., Oualkacha, K., Forgetta, V., Greenwood, C. M. T., « Pathway analysis for genetic association studies: to do, or not to do? That is the question », BMC Proceedings, 8:Suppl. 1 (2014), S103, 5&npsp;p.
Oualkacha, K., Dastani, Z., Cingolani, P. E., Spector, T. D., Hammond, C. J., Richards, J. B., Ciampi, A., Greenwood, C. M. T., « Adjusted sequence kernel association test for rare variants controlling for cryptic and family relatedness », Genetic Epidemiology, 37:4 (mai 2013), 366–376.

David Haziza

Peer-reviewed journal articles:

Chen, S., Haziza, D., « Jackknife empirical likelihood method for multiply robust estimation with missing data », Computational Statistics & Data Analysis, 127 (novembre 2018), 258–268.
Chen, S., Haziza, D., « Multiply robust imputation procedures for zero-inflated distributions in surveys », Metron, 75:3 (décembre 2017), 333–343.
Chen, S., Haziza, D., « Multiply robust imputation procedures for the treatment of item nonresponse in surveys », Biometrika, 104:2 (juin 2017), 439–453.
Chen, Q., Elliott, M. R., Haziza, D., Yang, Y., Ghosh, M., Little, R. J., Sedransk, J., Thompson, M. E., « Approaches to improving survey-weighted estimates », Statistical Science, 32:2 (mai 2017), 227–248.
Haziza, D., Beaumont, J.-F., « Construction of weights in surveys: a review », Statistical Science, 32:2 (mai 2017), 206–226.
Chauvet, G., Lesage, É., Haziza, D., « Examining some aspects of balanced sampling in surveys », Statistica Sinica, 27 (2017), 313–334.
Beaumont, J.-F., Haziza, D., « A note on the concept of invariance in two-phase sampling designs », Survey Methodology / Techniques d’enquête, 42:2 (décembre 2016), 319–323.
Favre Martinoz, C., Haziza, D., Beaumont, J.-F., « Robust inference in two-phase sampling designs with application to unit nonresponse », Scandinavian Journal of Statistics. Theory and Applications, 43:4 (décembre 2016), 1019–1034.
Boistard, H., Chauvet, G., Haziza, D., « Doubly robust inference for the distribution function in the presence of missing survey data », Scandinavian Journal of Statistics. Theory and Applications, 43:3 (septembre 2016), 683–699.
Haziza, D., Lesage, É., « A discussion of weighting procedures for unit nonresponse », Journal of Official Statistics, 32:1 (mars 2016), 129–145.
Mashreghi, Z., Haziza, D., Léger, C., « A survey of bootstrap methods in finite population sampling », Statistics Surveys, 10 (2016), 1–52.
Ghosh, M., Haziza, D., « Revisiting Basu’s circus example: Another look at the Horvitz–Thompson estimator », Calcutta Statistical Association Bulletin, 68:1-2 (2016), 33–37.
Beaumont, J.-F., Béliveau, A., Haziza, D., « Clarifying some aspects of variance estimation in two-phase sampling », Journal of Survey Statistics and Methodology, 3:4 (décembre 2015), 524–542.
Favre Martinoz, C., Haziza, D., Beaumont, J.-F., « A method for determining the cut-off points for winsorized estimators with application to domain estimation », Survey Methodology / Techniques d’enquête, 41:1 (juin 2015), 57–77.
Haziza, D., Nambeu, C. O., Chauvet, G., « Doubly robust imputation procedures for finite population means in the presence of a large number of zeros », The Canadian Journal of Statistics / La revue canadienne de statistique, 42:4 (décembre 2014), 650–669.
Beaumont, J.-F., Bocci, C., Haziza, D., « An adaptive data collection procedure for call prioritization », Journal of Official Statistics, 30:4 (décembre 2014), 607–621.
Gelein, B., Haziza, D., Causeur, D., « Preserving relationships between variables with MIVQUE based imputation for missing survey data », Journal of Multivariate Analysis, 131:C (octobre 2014), 197–208.
Mashreghi, Z., Léger, C., Haziza, D., « Bootstrap methods for imputed data from regression, ratio and hot-deck imputation », The Canadian Journal of Statistics / La revue canadienne de statistique, 42:1 (mars 2014), 142–167.
Kim, J. K., Haziza, D., « Doubly robust inference with missing data in survey sampling », Statistica Sinica, 24:1 (janvier 2014), 375–394.
Dongmo Jiongo, V., Haziza, D., Duchesne, P., « Controlling the bias of robust small-area estimators », Biometrika, 100:4 (décembre 2013), 843–858.
Beaumont, J.-F., Haziza, D., Ruiz-Gazen, A., « A unified approach to robust estimation in finite population sampling », Biometrika, 100:3 (mai 2013), 555–569.
Yung, W., Haziza, D., « Comments on the paper “Bias-adjustement and calibration of jackknife variance estimator in the presence of non-response” », Journal of Statistical Planning and Inference, 142:7 (juillet 2012), 2232–2240.
Haziza, D., Picard, F., « Doubly robust point and variance estimation in the presence of imputed survey data », The Canadian Journal of Statistics / La revue canadienne de statistique, 40:2 (juin 2012), 259–281.
Chauvet, G., Haziza, D., « Fully efficient estimation of coefficients of correlation in the presence of imputed survey data », The Canadian Journal of Statistics / La revue canadienne de statistique, 40:1 (mars 2012), 124–149.

Peer-reviewed conference proceedings:

Beaumont, J.-F., Haziza, D., Ruiz-Gazen, A., « Traitement unifié des valeurs influentes dans les enquêtes », Journées de méthodologie statistique — JMS 2012 (Paris, 2012), 2012.
Haziza, D., Dongmo Jiongo, V., Duchesne, P., « Inférence triplement robuste en présence de données manquantes », Journées de méthodologie statistique — JMS 2012 (Paris, 2012), 2012.
Chaput, H., Salembier, L., Solard, J., Chauvet, G., Haziza, D., « Joint imputation procedures for categorical variables with application to the French Wealth Survey », Journées de méthodologie statistique — JMS 2012 (Paris, 2012), 2012.
Boistard, H., Chauvet, G., Haziza, D., « Consistance sous un modèle de réponse de la fonction de répartition estimée en présence de données manquantes », Journées de méthodologie statistique — JMS 2012 (Paris, 2012), 2012.

Research reports:

Chaput, H., Chauvet, G., Haziza, D., Salembier, L., Solard, J., « Joint imputation procedures for categorical variables », arXiv:1511.00990, novembre 2015.
Vallée, A.-A., Haziza, D., « Variance estimation in the presence of imputed data for high entropy sampling designs », Université de Neuchâtel, 2014.

Klaus Herrmann

Peer-reviewed journal articles:

Herrmann, K., Hofert, J. M., Mailhot, M., « Multivariate geometric expectiles », Scandinavian Actuarial Journal, 2018:7 (2018), 629–659.

Khader Khadraoui

Peer-reviewed journal articles:

Khadraoui, K., « A smoothing stochastic simulated annealing method for localized shapes approximation », Journal of Mathematical Analysis and Applications, 446:1 (février 2017), 1018–1029.
Khadraoui, K., « Nonparametric adaptive Bayesian regression using priors with tractable normalizing constants and under qualitative assumptions », International Journal of Approximate Reasoning, 80 (janvier 2017), 257–276.
Samb, R., Khadraoui, K., Belleau, P., Deschênes, A., Lakhal Chaieb, L., Droit, A., « Using informative Multinomial-Dirichlet prior in a t-mixture with reversible jump estimation of nucleosome positions for genome-wide profiling », Statistical Applications in Genetics and Molecular Biology, 14:6 (décembre 2015), 517–532.
Samb, R., Khadraoui, K., Belleau, P., Deschênes, A., Lakhal Chaieb, L., Droit, A., « Using informative multinomial-Dirichlet prior in a t-mixture with reversible jump estimation of nucleosome positions for genome-wide profiling », Statistical Applications in Genetics and Molecular Biology, 14:6 (décembre 2015), 517–532.
Abraham, C., Khadraoui, K., « Bayesian regression with B-splines under combinations of shape constraints and smoothness properties », Statistica Neerlandica, 69:2 (mai 2015), 150–170.
Khadraoui, K., « A simple Markovian individual-based model as a means of understanding forest dynamics », Mathematics and Computers in Simulation, 107 (janvier 2015), 1–23.

Peer-reviewed conference proceedings:

Khadraoui, K., « Nonparametric Bayesian regression under combinations of local constraints », in Interdisciplinary Bayesian Statistics, 12th Brazilian Meeting on Bayesian Statistics — EBEB 2014 (Atibaia, 2014), Polpo, A., Louzada, F., Rifo, L., Stern J., Lauretto M., éd., Springer Proceedings in Mathematics & Statistics, Vol. 118, Cham, Springer, 2015.

Abbas Khalili

Book chapters:

Khalili, A., Chen, J., Stephens, D. A., « Regularization in regime-switching Gaussian autoregressive models », in Advanced Statistical Methods in Data Science, D.-G. Chen, J. Chen, X. Lu, G. Yi, H. Yu, éd., ICSA Book Series in Statistics, Singapore, Springer, 2016.

Peer-reviewed journal articles:

Khalili, A., Chen, J., Stephens, D. A., « Regularization and selection in Gaussian mixture of autoregressive models », The Canadian Journal of Statistics / La revue canadienne de statistique, 45:4 (décembre 2017), 356–374.
Shohoudi, A., Khalili, A., Wolfson, D. B., Asgharian, M., « Simultaneous variable selection and de-coarsening in multi-path change-point models », Journal of Multivariate Analysis, 147 (mai 2016), 202–217.
Zhang, F., Khalili, A., Lin, S., « Optimum study design for detecting imprinting and maternal effects based on partial likelihood », Biometrics, 72:1 (mars 2016), 95–105.
Du, Y., Khalili, A., Nešlehová, J., Steele, R., « Simultaneous fixed and random effects selection in finite mixture of linear mixed-effects models », The Canadian Journal of Statistics / La revue canadienne de statistique, 41:4 (décembre 2013), 596–616.
Khalili, A., Lin, S., « Regularization in finite mixture of regression models with diverging number of parameters », Biometrics, 69:2 (juin 2013), 436–446.

Peer-reviewed conference proceedings:

McGillivray, A., Khalili, A., « A new penalized quasi-likelihood approach for estimating the number of states in a hidden Markov model », in Perspectives on Big Data Analysis: Methodologies and Applications, International Workshop on Perspectives on High-dimensional Data Analysis II (Montréal, 2012), A. S. Ejaz, éd., Contemporary Mathematics, Vol. 622, Providence, RI, Amer. Math. Soc., 2014, 37–59.

Aurélie Labbe

Book chapters:

Labbe, A., Huang, L. O., Infante-Rivard, C., « Transmission ratio distortion: A neglected phenomenon with many consequences in genetic analysis and population genetics », in Epigenetics and Complex Traits, Anna K. Naumova, Celia M.T. Greenwood, éd., New York, Springer, 2013.

Peer-reviewed journal articles:

Turgeon, M., Oualkacha, K., Ciampi, A., Miftah, H., Dehghan, G., Zanke, B. W., Benedet, A., Rosa-Neto, P., Greenwood, C. M. T., Labbe, A., et al., « Principal component of explained variance: An efficient and optimal data dimension reduction framework for association studies », Statistical Methods in Medical Research, 27:5 (mai 2018), 1331–1350.
Pedneault, M., Labbe, A., Roy-Gagnon, M.-H., Low, N. C., Dugas, E., Engert, J., « The association between CHRN genetic variants and dizziness at first inhalation of cigarette smoke », Addictive Behaviors, 39:1 (janvier 2014), 316–320.
Malard, L., Kakinami, L., O’Loughlin, J., Roy-Gagnon, M.-H., Labbe, A., Pilote, L., Hamet, P., Tremblay, J., Paradis, G., « The association between the angiotensin-converting enzyme-2 gene and blood pressure in a cohort study of adolescents », BMC Medical Genetics, 14:117 (novembre 2013), 7 p.
Labbe, A., Bureau, A., Moreau, I., Roy, M.-A., Chagnon, Y., Maziade, M., Mérette, C., « Symptom dimensions as alternative phenotypes to address genetic heterogeneity in schizophrenia and bipolar disorder », European Journal of Human Genetics, 20 (novembre 2012), 1182–1188.
Scott-Boyer, M. P., Imholte, G. C., Tayeb, A., Labbe, A., Deschepper, C., Gottardo, R., « An integrated hierarchical bayesian model for multivariate eQTL mapping », Statistical Applications in Genetics and Molecular Biology, 11:4, Art.6 (juillet 2012), 30 p.
Oualkacha, K., Labbe, A., Ciampi, A., Roy, M.-A., Maziade, M., « Principal components of heritability for high dimension quantitative traits and general pedigrees », Statistical Applications in Genetics and Molecular Biology, 11:2 (janvier 2012), 4, 27 p.

Other journal articles:

Labbe, A., « De la statistique à la génétique: identifier les gènes responsables de maladies complexes », Bulletin AMQ, 53:2 (mai 2013), 55–64.
Huang, L. O., Labbe, A., Infante-Rivard, C., « Transmission ratio distortion: review of concept and implications for genetic association studies », Human Genetics, 132:3 (mars 2013), 245–263.
Labbe, A., Liu, A., Atherton, J., Gizenko, N., Fortin, M.-È., Sengupta, S. M., Ridha, J., « Refining psychiatric phenotypes for response to treatment: Contribution of LPHN3 in ADHD », American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 159B:7 (octobre 2012), 776–785.

Peer-reviewed conference proceedings:

Ciampi, A., Yang, L., Labbe, A., Mérette, C., « PLS regression and hybrid methods in genomics association studies », in New perspectives in partial least squares and related methods, Herve Abdi, Wynne W. Chin, Vincenzo Esposito Vinzi, Giorgio Russolillo, Laura Trinchera, éd., Springer Proceedings in Mathematics & Statistics, Vol. 56, Springer, 2013, 107–116.

Lajmi Lakhal Chaieb

Peer-reviewed journal articles:

Lakhal Chaieb, L., Greenwood, C. M. T., Ouhourane, M., Zhao, K., Abdous, B., Oualkacha, K., « A smoothed EM-algorithm for DNA methylation profiles from sequencing-based methods in cell lines or for a single cell type », Statistical Applications in Genetics and Molecular Biology, 16:5-6 (décembre 2017), 333–347.
Lakhal Chaieb, L., Duchesne, T., « Association measures for bivariate failure times in the presence of a cure fraction », Lifetime Data Analysis, 23:4 (octobre 2017), 517–532.
Choi, Y. H., Briollais, L., Win, A. K., Hopper, J., Buchanan, D., Jenkins, M., Lakhal Chaieb, L., « Modeling of successive cancer risks in Lynch syndrome families in the presence of competing risks using copulas », Biometrics, 73:1 (mars 2017), 271–282.
Lakhal Chaieb, L., Oualkacha, K., Richards, B., Greenwood, C. M. T., « A rare variant association test in family-based designs and non-normal quantitative traits », Statistics in Medicine, 35:6 (mars 2016), 905–921.
Samb, R., Khadraoui, K., Belleau, P., Deschênes, A., Lakhal Chaieb, L., Droit, A., « Using informative Multinomial-Dirichlet prior in a t-mixture with reversible jump estimation of nucleosome positions for genome-wide profiling », Statistical Applications in Genetics and Molecular Biology, 14:6 (décembre 2015), 517–532.
Samb, R., Khadraoui, K., Belleau, P., Deschênes, A., Lakhal Chaieb, L., Droit, A., « Using informative multinomial-Dirichlet prior in a t-mixture with reversible jump estimation of nucleosome positions for genome-wide profiling », Statistical Applications in Genetics and Molecular Biology, 14:6 (décembre 2015), 517–532.
Leclerc, M., Antoniou, A. C., Simard, J., Lakhal Chaieb, L., et al., « Analysis of multivariate failure times in the presence of selection bias with application to breast cancer », Journal of the Royal Statistical Society. Series C. Applied Statistics, 64:3 (avril 2015), 525–541.
Romdhani, H., Lakhal-Chaieb, L., Rivest, L.-P., « An exchangeable Kendall’s tau for clustered data », The Canadian Journal of Statistics / La revue canadienne de statistique, 42:3 (septembre 2014), 384–403.
Romdhani, H., Lakhal-Chaieb, L., Rivest, L.-P., « Kendall’s tau for hierarchical data », Journal of Multivariate Analysis, 128 (juillet 2014), 210–225.
Lakhal Chaieb, L., Abdous, B., Duchesne, T., « Nonparametric estimation of the conditional survival function for bivariate failure times », The Canadian Journal of Statistics / La revue canadienne de statistique, 41:3 (septembre 2013), 439–452.

Fabrice Larribe

Peer-reviewed journal articles:

Beaulac, C., Larribe, F., « Narrow artificial intelligence with machine learning for real time estimation of a mobile agent’s location using Hidden Markov Models », International Journal of Computer Games Technology, 2017 (2017), 4939261, 10 p.
Ait Kaci Azzou, S., Larribe, F., Froda, S., « Inferring the demographic history from DNA sequences: An importance sampling approach based on non-homogeneous processes », Theoretical Population Biology, 111 (octobre 2016), 16–27.
Larribe, F., Dupont, M., Boucher, G., « Simultaneous inference of haplotypes and alleles at a causal gene », Frontiers in Genetics, 6 (octobre 2015), 291, 13 p.
Ait Kaci Azzou, S., Larribe, F., Froda, S., « A new method for estimating the demographic history from DNA sequences: an importance sampling approach », Frontiers in Genetics, 6 (août 2015), 259, 13 p.
Fillion, M., Lemire, M., Philibert, A., Frenette, B., Deguire, J. R., Guimarães, J. R. D., Larribe, F., Barbosa Jr, F., Mergler, D., Weiler, H., « Toxic risks and nutrtional benefits of traditional diet on near visual contrast sensitivity and color vision in the Brazilian Amazon », Neurotoxicology, 37 (juillet 2013), 173–181.

Research reports:

Larribe, F., Descary, M.-H., « DMap: a coalescent methodology for genetic mapping of a complex trait », UQAM, 2014, 30 p.

Geneviève Lefebvre

Peer-reviewed journal articles:

Talbot, D., Rossi, A. M., Bacon, S., Atherton, J., Lefebvre, G., « A graphical perspective of marginal structural models: An application for the estimation of the effect of physical activity on blood pressure », Statistical Methods in Medical Research, 27:8 (2018), 2428–2436.
Boraschi-Diaz, I., Tauer, J. T., El-Rifai, O., Guillemette, D., Lefebvre, G., Rauch, F., Ferron, M., Komarova, S. V., « Metabolic phenotype in the mouse model of osteogenesis imperfecta », Journal of Endocrinology, 234:3 (septembre 2017), 279–289.
Marcoux, S., Drouin, S., Laverdière, C., Alos, N., Andelfinger, G. U., Bertout, L., Curnier, D., Friedrich, M. G., Kritikou, E. A., Lefebvre, G., Levy, E., Lippé, S., Marcil, V., Raboisson, M.-J., Rauch, F., Robaey, P., Samoilenko, M. V., Séguin, C., Sultan, S., Krajinovic, M., Sinnett, D., « The PETALE study: late adverse effects and biomarkers in childhood acute lymphoblastic leukemia survivors », Pediatric Blood & Cancer, 64:6 (juin 2017), e26361, 8 p.
Samoilenko, M. V., Blais, L., Cossette, B., Forget, A., Lefebvre, G., « Assessing the dose-response relationship between maternal use of inhaled corticosteroids therapy and birthweight: a generalized propensity score approach », Observational Studies, 2016 (2016), 90–118.
Talbot, D., Lefebvre, G., Atherton, J., « The Bayesian causal effect estimation algorithm », Journal of Causal Inference, 3:2 (septembre 2015), 207–236.
Talbot, D., Atherton, J., Lefebvre, G., Rossi, A. M., Bacon, S., « Authors’ reply to comments on “A cautionary note concerning the use of stabilized weights in marginal structural models” », Statistics in Medicine, 34:18 (août 2015), 2676–2677.
Talbot, D., Atherton, J., Rossi, A. M., Bacon, S., Lefebvre, G., « A cautionary note concerning the use of stabilized weights in marginal structural models », Statistics in Medicine, 34:5 (février 2015), 812–823.
Lefebvre, G., Delaney, J. A. C., McClelland, R. L., « Extending the Bayesian Adjustment for Confounding algorithm to binary treatment covariates to estimate the effect of smoking on carotid intima-media thickness: the Multi-Ethnic Study of Atherosclerosis », Statistics in Medicine, 33:16 (juillet 2014), 2797–2813.
Lefebvre, G., Delaney, J. A. C., McClelland, R. L., « Extending the Bayesian adjustment for confounding algorithm to binary treatment covariates to estimate the effect of smoking on carotid intima-media thickness: the multi-ethnic study of atherosclerosis », Statistics in Medicine, 33:16 (juillet 2014), 2797–2813.
Lefebvre, G., Atherton, J., Talbot, D., « The effect of the prior distribution in the Bayesian adjustement for confounding algorithm », Computational Statistics & Data Analysis, 70 (février 2014), 227–240.

Christian Léger

Peer-reviewed journal articles:

Mashreghi, Z., Haziza, D., Léger, C., « A survey of bootstrap methods in finite population sampling », Statistics Surveys, 10 (2016), 1–52.
Mashreghi, Z., Léger, C., Haziza, D., « Bootstrap methods for imputed data from regression, ratio and hot-deck imputation », The Canadian Journal of Statistics / La revue canadienne de statistique, 42:1 (mars 2014), 142–167.
Lafaye de Micheaux, P., Léger, C., « A law of the single logarithm for weighted sums of arrays applied to bootstrap model selection in regression », Statistics & Probability Letters, 82:5 (mai 2012), 965–971.

Éric Marchand

Monographs and books:

Fourdrinier, D., Marchand, É., Rukhin, A. L. (EDT), Contemporary Developments in Bayesian Analysis and Statistical Decision Theory: A Festschrift for William E. Strawderman 8, IMS Collections, Vol. 8, Beachwood, OH, Inst. Math. Stat., 2012.

Book chapters:

Marchand, É., Jafari Jozani, M., Tripathi, Y. M., « Inadmissible estimators of normal quantiles and two-sample problems with additional information », in Contemporary Developments in Bayesian Analysis and Statistical Decision Theory: A Festschrift for William E. Strawderman, D. Fourdrinier, É Marchand, A. L. Rukhin, éd., IMS Collections, Vol. 8, Beachwood, OH, Inst. Math. Stat., 2012.

Peer-reviewed journal articles:

Kubokawa, T., Marchand, É., Strawderman, W. E., « On predictive density estimation for location families under integrated absolute error loss », Bernoulli, 23:4B (novembre 2017), 3197–3212.
L’Moudden, A., Marchand, É., Kortbi, O., Strawderman, W. E., « On predictive density estimation for Gamma models with parametric constraints », Journal of Statistical Planning and Inference, 185 (juin 2017), 56–68.
Kubokawa, T., Marchand, É., Strawderman, W. E., « A unified approach to estimation of noncentrality parameters, the multiple correlation coefficient, and mixture models », Mathematical Methods of Statistics, 26:2 (avril 2017), 134–148.
Marchand, É., Perron, F., Yadegari, I., « On estimating a bounded normal mean with applications to predictive density estimation », Electronic Journal of Statistics, 11:1 (2017), 2002–2025.
Ait Aoudia, D., Marchand, É., Perron, F., « Counts of Bernoulli success strings in a multivariate framework », Statistics & Probability Letters, 119 (décembre 2016), 1–10.
Ghashim, E., Marchand, É., Strawderman, W. E., « On a better lower bound for the frequentist probability of coverage of Bayesian credible intervals in restricted parameter spaces », Statistical Methodology, 31 (juillet 2016), 43–57.
Kubokawa, T., Marchand, É., Strawderman, W. E., « On predictive density estimation for location families under integrated squared error loss », Journal of Multivariate Analysis, 142 (décembre 2015), 57–74.
Bahamyirou, A., Marchand, É., « On the discrepancy between Bayes credibility and frequentist probability of coverage », Statistics & Probability Letters, 97 (février 2015), 63-68.
Kubokawa, T., Marchand, É., Strawderman, W. E., « On improved shrinkage estimators for concave loss », Statistics & Probability Letters, 96 (janvier 2015), 241–246.
Jafari Jozani, M., Marchand, É., Strawdermann, W. E., « Estimation of a non-negative location parameter with unknown scale », Annals of the Institute of Statistical Mathematics, 66 (septembre 2014), 811–832.
Jafari Jozani, M., Leblanc, A., Marchand, É., « On continuous distribution functions, minimax and best invariant estimators, and integrated balanced loss functions », The Canadian Journal of Statistics / La revue canadienne de statistique, 42:3 (septembre 2014), 470–486.
Ait Aoudia, D., Marchand, É., « On a simple construction of a bivariate probability function with a common marginal », The American Statistician, 68:3 (août 2014), 170–173.
Marchand, É., Ait Aoudia, D., Perron, F., Ben Hadj Slimene, L., « On runs, bivariate poisson mixtures and distributions that arise in Bernoulli arrays », Electronic Communications in Probability, 19 (2014), 8, 12 p.
Kortbi, O., Marchand, É., « Estimating a multivariate normal mean with a bounded signal to noise ratio under scaled squared error loss », Sankhya A, 75:2 (août 2013), 277–299.
Kortbi, O., Marchand, É., « Estimating a multivariate normal mean with a bounded signal to noise ratio under scaled squared error loss », Sankhyā. Series A, 75:2 (août 2013), 277–299.
Kubota, T., Marchand, É., Strawderman, W. E., Turcotte, J.-P., « Minimaxity in predictive density estimation with parametric constraints », Journal of Multivariate Analysis, 116 (avril 2013), 382–397.
Marchand, É., Strawderman, W. E., « On Bayesian credible sets, restricted parameter spaces and frequentist coverage », Electronic Journal of Statistics, 7 (2013), 1419–1431.
Kortbi, O., Marchand, É., « Truncated linear estimation of a bounded multivariate normal mean », Journal of Statistical Planning and Inference, 142:9 (septembre 2012), 2607–2618.
Marchand, É., Strawdermann, W. E., « A unified minimax result for restricted parameter spaces », Bernoulli, 18:2 (mai 2012), 635–643.
Jafari Jozani, M., Marchand, É., Parsian, A., « Bayesian and robust Bayesian analysis under a general class of balanced loss functions », Statistical Papers, 53:1 (2012), 51–60.

Peer-reviewed conference proceedings:

Marchand, É., Jafari Jozani, M., Tripathi, Y. M., « On the inadmissibility of various estimators of normal quantile and on applications to two-sample problems with additional information », in Contemporary Developments in Bayesian Analysis and Decision Theory: A Festschrift for William E. Strawderman, D. Fourdrinier, éd., IMS Collections, Vol. 8, Beachwood, OH, Inst. Math. Stat., 2012, 104–116.

Research reports:

Kubokawa, T., Marchand, É., Strawderman, W. E., « On predictive density estimation for location families under integrated $L_2$ and $L_1$ losses », arXiv:1408.5297, août 2014.

Erica E. M. Moodie

Monographs and books:

Kosorok, M. R., Moodie, E. E. M. (EDT), Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine, Philadelphia, PA, SIAM, 2015.
Chakraborty, B., Moodie, E. E. M., Statistical Methods for Dynamic Treatment Regimes: Reinforcement Learning, Causal Inference, and Personalized Medicine 76, Statistics for Biology and Health, Vol. 76, Springer, 2013.
Chakraborty, B., Moodie, E. E. M., Statistical Methods for Dynamic Treatment Regimes 76, Statistics for Biology and Health, Vol. 76, Springer, 2013.

Book chapters:

Schnitzer, M., van der Laan, M., Moodie, E. E. M., Platt, R. W., « LTMLE with clustering », in Targeted Learning in Data Science, Springer Series in Statistics, Vol. 15, Cham, Springer, 2018.
Moodie, E. E. M., Stephens, D. A., « Dynamic treatment regimes », in Wiley StatsRef: Statistics Reference Online, N. Balakrishnan, T. Colton, B. Everitt, W. Piegorsch, F. Ruggeri, J. L. Teugels, éd., American Cancer Society, 2018.
Moodie, E. E. M., Stephens, D. A., Wallace, M., « G-estimation », in Wiley StatsRef: Statistics Reference Online, N. Balakrishnan, T. Colton, B. Everitt, W. Piegorsch, F. Ruggeri, J. L. Teugels, éd., American Cancer Society, 2018.
Wallace, M., Moodie, E. E. M., « Analysis in the single-stage setting: an overview of estimation approaches for dynamic treatment regimes », in Adaptive Treatment Strategies in Practice, M. R. Kosorok, E. E. M. Moodie, éd., Philadelphia, PA, SIAM, 2015.

Peer-reviewed journal articles:

Simoneau, G., Moodie, E. E. M., Platt, R. W., Chakraborty, B., « Non-regular inference for dynamic weighted ordinary least squares: understanding the impact of solid food intake in infancy on childhood weight », Biostatistics, 19:2 (avril 2018), 233–246.
Moodie, E. E. M., Stephens, D. A., « Treatment prediction, balance, and propensity score adjustment », Epidemiology, 28:5 (septembre 2017), e51–e53.
Wallace, M., Moodie, E. E. M., Stephens, D. A., « Model validation and selection for personalized medicine using dynamic-weighted ordinary least squares », Statistical Methods in Medical Research, 26:4 (août 2017), 1641–1653.
Wallace, M., Moodie, E. E. M., Stephens, D. A., « Dynamic treatment regimen estimation via regression-based techniques: Introducing R package DTRreg », Journal of Statistical Software, 80:2 (août 2017), 1–20.
Parveen, N., Moodie, E. E. M., Brenner, B., « Correcting covariate-dependent measurement error with non-zero mean », Statistics in Medicine, 36:17 (juillet 2017), 2786–2800.
Krakow, E., Hemmer, M., Wang, T., Logan, B., Arora, M., Spellman, S., Couriel, D., Alousi, A., Pidala, J., Last, M., Lachance, S., Moodie, E. E. M., « Tools for the precision medicine era: How to develop highly personalized treatment recommendations from cohort and registry data using Q-learning », American Journal of Epidemiology, 186:2 (juillet 2017), 160–172.
Suissa, S., Moodie, E. E. M., Dell’Aniello, S., « Prevalent new-user cohort designs for comparative drug effect studies by time-conditional propensity scores », Pharmacoepidemiology and Drug Safety, 26:4 (avril 2017), 459–468.
Wallace, M., Moodie, E. E. M., Stephens, D. A., « An R package for G-estimation of structural nested mean models », Epidemiology, 28:2 (mars 2017), e18–e20.
Wallace, M., Moodie, E. E. M., Stephens, D. A., « Model assessment in dynamic treatment regimen estimation via double robustness », Biometrics, 72:3 (septembre 2016), 855–864.
Chakraborty, B., Ghosh, P., Moodie, E. E. M., Rush, A. J., « Estimating optimal shared-parameter dynamic regimens with application to a multistage depression clinical trial », Biometrics, 72:3 (septembre 2016), 865–876.
Wallace, M., Moodie, E. E. M., Stephens, D. A., « SMART thinking: a review of recent developments in sequential multiple assignment randomized trials », Current Epidemiology Reports, 3:3 (septembre 2016), 225–232.
Naimi, A. I., Schnitzer, M., Moodie, E. E. M., Bodnar, L. M., « Mediation analysis for health disparities research », American Journal of Epidemiology, 184:4 (août 2016), 315–324.
Kyle, R. P., Moodie, E. E. M., Klein, M. B., Abrahamowicz, M., « Correcting for measurement error in time-varying covariates in marginal structural models », American Journal of Epidemiology, 184:3 (août 2016), 249–258.
Rich, B., Moodie, E. E. M., Stephens, D. A., « Influence re-weighted g-estimation », The International Journal of Biostatistics, 12:1 (mai 2016), 157–177.
Rich, B., Moodie, E. E. M., Stephens, D. A., « Optimal individualized dosing strategies: A pharmacologic approach to developing dynamic treatment regimens for continuous-valued treatments », Biometrical Journal, 58:3 (mai 2016), 502–517.
Regier, M., Moodie, E. E. M., « The orthogonally partitioned EM algorithm: Extending the EM algorithm for algorithmic stability and bias correction due to imperfect data », The International Journal of Biostatistics, 12:1 (mai 2016), 65–77.
Moodie, E. E. M., Karran, J. C., Shortreed, S., « A case study of SMART attributes: a qualitative assessment of generalizability, retention rate, and trial quality », Trials, 17:1 (mai 2016), 242, 6 p.
Wallace, M., Moodie, E. E. M., Stephens, D. A., « Comment: “Personalized dose finding using outcome weighted learning” », Journal of the American Statistical Association, 111:516 (2016), 1530–1534.
Saarela, O., Arjas, E., Stephens, D. A., Moodie, E. E. M., « Predictive Bayesian inference and dynamic treatment regimes », Biometrical Journal, 57:6 (novembre 2015), 941–958.
Karran, J. C., Moodie, E. E. M., Wallace, M., « Statistical method use in public health research », Scandinavian Journal of Public Health, 43:7 (novembre 2015), 776–782.
Mojaverian, N., Moodie, E. E. M., Bliu, A., Klein, M. B., « The impact of sparse follow-up on marginal structural models for time-to-event data », American Journal of Epidemiology, 182:12 (octobre 2015), 1047–1055.
Wallace, M., Moodie, E. E. M., « Doubly-robust dynamic treatment regimen estimation via weighted least squares », Biometrics, 71:3 (septembre 2015), 636–644.
Saarela, O., Stephens, D. A., Moodie, E. E. M., Klein, M. B., « On Bayesian estimation of marginal structural models », Biometrics, 71:2 (juin 2015), 279–288.
Saarela, O., Stephens, D. A., Moodie, E. E. M., Klein, M. B., « Rejoinder: “On Bayesian estimation of marginal structural models” », Biometrics, 71:2 (juin 2015), 299–301.
Parveen, N., Moodie, E. E. M., Brenner, B., « The non-zero mean SIMEX: Improving estimation in the face of measurement error », Observational Studies, 1 (avril 2015), 91–123.
Wang, Y., Murphy, O. A., Turgeon, M., Wang, Z., Bhatnagar, S. R., Schulz, J., Moodie, E. E. M., « The perils of quasi-likelihood information criteria », Stat, 4 (2015), 246–254.
Sauerbrei, W., Abrahamowicz, M., Altman, D. G., le Cessie, S., Carpenter, J., Moodie, E. E. M., et al., « STRengthening Analytical Thinking for Observational Studies: the STRATOS initiative », Statistics in Medicine, 33:30 (décembre 2014), 5413–5432.
Moodie, E. E. M., Dean, N., Sun, Y. R., « Q-learning: Flexible learning about useful utilities », Statistics in Biosciences, 6:2 (novembre 2014), 223–243.
Naimi, A., Moodie, E. E. M., Auger, N., Kaufman, J. S., « Semiparametric adjusted exposure-response curves », Epidemiology, 25:6 (novembre 2014), 919–922.
Latimer, E., Naidu, A., Moodie, E. E. M., Malla, A., Tamblyn, R., Wynant, W., Clark, R., « Variation in long-term antipsychotic polypharmacy and high-dose prescribing across physicians and hospitals », Psychiatric Services 65:10 (octobre 2014), 1210–1217.
Klein, M. B., Rollet, K., Moodie, E. E. M., Yaphe, S., Tyndall, M., Walmsley, S., Gill, M. J., Martel-Laferriere, V., Cooper, C., « Mortality in HIV-hepatitis C co-infected patients in Canada compared to the general Canadian population (2003-2013) », AIDS, 28:13 (août 2014), 1957–1965.
Naimi, A., Moodie, E. E. M., Auger, N., Kaufman, J. S., « Stochastic mediation contrasts in epidemiologic research: Interpregnancy interval and the educational disparity in preterm delivery », American Journal of Epidemiology, 180:4 (août 2014), 436–445.
Rich, B., Moodie, E. E. M., Stephens, D. A., « Simulating sequential multiple assignment randomized trials to generate optimal personalized warfarin dosing strategies », Clinical Trials, 11:4 (août 2014), 435–444.
Xiao, Y., Abrahamowicz, M., Moodie, E. E. M., Weber, R., Young, J., « Flexible Marginal Structural Models for Estimating the Cumulative Effect of a Time-Dependent Treatment on the Hazard: Reassessing the Cardiovascular Risks of Didanosine Treatment in the Swiss HIV Cohort Study », Journal of the American Statistical Association, 109:506 (juin 2014), 455–464.
Wallace, M., Moodie, E. E. M., « Personalizing medicine: a review of adaptive treatment strategies », Pharmacoepidemiology and Drug Safety, 23:6 (juin 2014), 580–585.
Regier, M., Moodie, E. E. M., Platt, R. W., « The effect of error-in-confounders on the estimation of the causal parameter when using marginal structural models and inverse probability-of-treatment weights: a simulation study », The International Journal of Biostatistics, 10:1 (mai 2014), 1–15.
Regier, M., Moodie, E. E. M., Platt, R. W., « The effect of error-in-confounders on the estimation of the causal parameter when using marginal structural models and inverse probability-of-treatment weights: a simulation study », The International Journal of Biostatistics, 10:1 (mai 2014), 1–15.
Regier, M., Moodie, E. E. M., Platt, R. W., « The effect of error-in-confounders on the estimation of the causal parameter when using marginal structural models and inverse probability- of-treatment weights: A simulation study », The International Journal of Biostatistics, 10:1 (mai 2014), 1–15.
Gough, E. K., Moodie, E. E. M., Prendergast, A. J., Johnson, S. M. A., Humphrey, J. H., Stoltzfus, R. J., Walker, A. S., Trehan, I., Gibb, D. M., Goto, R., Tahan, S., de Morais, M. B., Manges, A. R., « The impact of antibiotics on growth in children in low and middle income countries: Systematic review and meta-analysis of randomised controlled trials », British Medical Journal 348 (avril 2014), g2267, 13 p.
Cox, J., Maurais, E., Hu, L., Moodie, E. E. M., Law, S., Bozinoff, N., Potter, M., Rollet-Kurhajec, K. C., Hull, M. W., Tyndall, M., Cooper, C., Gill, M. J., Saeed, S., Klein, M. B., « Correlates of drug use cessation among participants in the canadian HIV-HCV co-infection cohort », Drug and Alcohol Dependence, 137 (avril 2014), 121–128.
Moodie, E. E. M., Stephens, D. A., Klein, M. B., « A marginal structural model for multiple-outcome survival data: assessing the impact of injection drug use on several causes of death in the Canadian co-infection cohort », Statistics in Medicine, 33:8 (avril 2014), 1409–1425.
Naimi, A., Moodie, E. E. M., Auger, N., Kaufman, J. S., « Constructing inverse probability weights for continuous exposures: a comparison of methods », Epidemiology, 25:2 (mars 2014), 292–299.
Heroux, J., Moodie, E. E. M., Strumpf, E., Coyle, N., Tousignant, P., Diop, M., « Marginal structural models for skewed outcomes: identifying causal relationships in health care utilization », Statistics in Medicine, 33:7 (mars 2014), 1205–1221.
Schnitzer, M., Moodie, E. E. M., van der Laan, M., Platt, R. W., Klein, M. B., « Modeling the impact of hepatitis C viral clearance on end-stage liver disease in an HIV co-infected cohort with targeted maximum likelihood estimation », Biometrics, 70:1 (mars 2014), 144-152.
Regier, M., Moodie, E. E. M., Platt, R. W., « The effect of error-in-confounders on the estimation of the casual parameter when using marginal structural models and inverse probability-of-treatment weights: a simulation study », The International Journal of Biostatistics, 10:1 (2014), 1–15.
Schnitzer, M., van der Laan, M., Moodie, E. E. M., Platt, R. W., « Effect of breastfeeding on gastrointestinal infection in infants: a targeted maximum likelihood approach for clustered longitudinal data », The Annals of Applied Statistics, 8:2 (2014), 703–725.
Xiao, Y., Abrahamowicz, M., Moodie, E. E. M., Weber, R., Young, J., « Flexible marginal structural models for estimating the cumulative effect of a time-dependent treatment on the hazard: Reassessing the cardiovascular risks of didanosine treatment in the Swiss HIV cohort study », J. Amer. Statist. Assoc., 109:506 (2014), 455–464.
Xiao, Y., Abrahamowicz, M., Moodie, E. E. M., Weber, R., Young, J., « Flexible marginal structural models for estimating the cumulative effect of a time-dependent treatment on the hazard: Reassessing the cardiovascular risks of didanosine treatment in the Swiss HIV cohort study », Journal of the American Statistical Association, 109:506 (2014), 455–464.
Brunet, L., Moodie, E. E. M., Rollet-Kurhajec, K. C., Cooper, C., Walmsley, S., Potter, M., Klein, M. B., « Marijuana smoking does not accelerate progression of liver disease in HIV-hepatitis C coinfection: a longitudinal cohort analysis », Clinical Infectious Diseases, 57:5 (septembre 2013), 663–670.
Xiao, Y., Moodie, E. E. M., Abrahamowicz, M., « Comparison of approaches to weight truncation for marginal structural Cox models », Epidemiologic Methods, 2:1 (mai 2013), 1–20.
Latimer, E., Wynant, W., Clark, R., Malla, A., Moodie, E. E. M., Tamblyn, R., Naidu, A., « Underprescribing of clozapine and unexplained variation in use across hospitals and regions in the Canadian province of Québec », Clinical Schizaophrenia & Related Psychoses, 7:1 (avril 2013), 33–41.
Schnitzer, M., Moodie, E. E. M., Platt, R. W., « Targeted maximum likelihood estimation for marginal time-dependent treatment effects under density misspecification », Biostatistics, 14:1 (janvier 2013), 1–14.
Klein, M. B., Rollet, K., Saeed, S., Cox, J., Potter, M., Cohen, J., Gill, J., Haase, D., Haider, S., Hull, M. W., Moodie, E. E. M., Montaner, J., Pick, N., Rachlis, A., Rouleau, D., Sandre, R., Tyndall, M., Walmsley, S., Conway, B., Cooper, C., Côté, P., « HIV and hepatitis C virus coinfection in Canada: challenges and opportunities for reducing preventable morbidity and mortality », HIV Medicine, 14:1 (janvier 2013), 10–20.
Moodie, E. E. M., Chakraborty, B., Kramer, M. S., « Q-learning for estimating optimal dynamic treatment rules from observational data », The Canadian Journal of Statistics / La revue canadienne de statistique, 40:4 (décembre 2012), 629–645.
Kramer, M. S., Moodie, E. E. M., Platt, R. W., « Commentary: Infant feeding and growth: Can we answer the causal question? », Epidemiology, 23:6 (novembre 2012), 790–794.
Kramer, M. S., Moodie, E. E. M., Platt, R. W., « Infant feeding and growth: can we answer the casual question? », Epidemiology, 23:6 (novembre 2012), 790–794.
Hull, M. W., Rollet, K., Moodie, E. E. M., Walmsley, S., Cox, J., Potter, M., Cooper, C., Pick, N., Saeed, S., Klein, M. B., « Insulin resistance is associated with progression to hepatic fibrosis in a cohort of HIV/hepatitis C virus-coinfected patients. », AIDS, 26:14 (septembre 2012), 1789–1794.
Shortreed, S., Moodie, E. E. M., « Estimating the optimal dynamic antipsychotic treatment regime: evidence from the sequential multiple-assignment randomized Clinical Antipsychotic Trials of Intervention and Effectiveness schizophrenia study », Journal of the Royal Statistical Society. Series C. Applied Statistics, 61:4 (août 2012), 577–599.
Shortreed, S., Moodie, E. E. M., « Estimating the optimal dynamic antipsychotic treatment regime: evidence from the sequential multiple-assignment randomized clinical antipsychotic trials of intervention and effectiveness schizophrenia study », Journal of the Royal Statistical Society. Series C. Applied Statistics, 61:4 (août 2012), 577–599.
Shortreed, S., Moodie, E. E. M., « Estimating the optimal dynamic antipsychotic treatment regime: Evidence from the sequential multiple assignment randomized CATIE Schizophrenia Study. », Journal of the Royal Statistical Society. Series C. Applied Statistics, 61:4 (août 2012), 577–599.
Hayward, L. S., Wingfield, J. C., Moodie, E. E. M., « Patterns of yolk testosterone deposition in two populations of arctic-breeding redpolls », Journal of Ornithology, 153:3 (juillet 2012), 727–734.
Moodie, E. E. M., Stephens, D. A., « Estimation of dose-response functions for longitudinal data using the generalised propensity score », Statistical Methods in Medical Research, 21:2 (avril 2012), 149–166.
Brenner, B., Moodie, E. E. M., « HIV sexual networks: the Montreal experiene », Statistical Communications in Infectious Diseases, 4:1 (avril 2012), 1, 24 p.

Alejandro Murua

Peer-reviewed journal articles:

Chekouo Tekougang, T., Murua, A., « High-dimensional variable selection with the plaid mixture model for clustering », Computational Statistics, 33:3 (septembre 2018), 1475–1496.
Munoz Avila, J., Murua, A., « Building cancer prognosis systems with survival function clusters », Statistical Analysis and Data Mining, 11:3 (juin 2018), 98–110.
Murua, A., Quintana, F. A., « Semiparametric Bayesian regression via Potts model », Journal of Computational and Graphical Statistics, 26:2 (2017), 265–274.
Chekouo Tekougang, T., Murua, A., Raffelsberger, W., « The Gibbs-plaid biclustering model », The Annals of Applied Statistics, 9:3 (septembre 2015), 1643–1670.
Murua, A., Wicker, N., « Kernel-based mixture models for classification », Computational Statistics, 30:2 (juin 2015), 317–344.
Chekouo Tekougang, T., Murua, A., « The penalized biclustering model and related algorithms », Journal of Applied Statistics, 42:6 (2015), 1255–1277.
Murua, A., Wicker, N., « The conditional-Potts clustering model », Journal of Computational and Graphical Statistics, 23:3 (2014), 717–739.

Bouchra Nasri

Peer-reviewed journal articles:

Rémillard, B., Nasri, B., Bouezmarni, T., « On copula-based conditional quantile estimators », Statistics & Probability Letters, 128 (septembre 2017), 14–20.

Johanna Nešlehová

Monographs and books:

Cramer, E., Nešlehová, J., Vorkurs Mathematik: Arbeitsbuch zum Studienbeginn in Bachelor-Studiengängen 5, Vol. 5, Verlag, Berlin, Springer, 2012.

Book chapters:

Genest, C., Nešlehová, J., « Modeling dependence beyond correlation », in Statistics in Action: A Canadian Outllook, J. F. Lawless, éd., Boca Raton FL, CRC Press, 2014.
Genest, C., Nešlehová, J., « Copulas and copula models », in Encyclopedia of Environmetrics, Second Edition, Abdel H. El-Shaarawi Walter W. Piegorsch, éd., Chichester, John Wiley & Sons, Ltd, 2013.
Genest, C., Nešlehová, J., « Copula modeling for extremes », in Encyclopedia of Environmetrics, Second Edition, Abdel H. El-Shaarawi Walter W. Piegorsch, éd., Chichester, John Wiley & Sons, Ltd, 2013.

Peer-reviewed journal articles:

Genest, C., Nešlehová, J., Rivest, L.-P., « The class of multivariate max-id copulas with $\ell_1$-norm symmetric exponent measure », Bernoulli, 24:4B (novembre 2018), 3751–3790.
Belzile, L. R., Nešlehová, J., « Extremal attractors of Liouville copulas », Journal of Multivariate Analysis, 160 (août 2017), 68–92.
Genest, C., Nešlehová, J., Rémillard, B., « Asymptotic behavior of the empirical multilinear copula process under broad conditions », Journal of Multivariate Analysis, 159 (juillet 2017), 82–110.
Cormier, E., Genest, C., Nešlehová, J., « Using B-splines for nonparametric inference on bivariate extreme-value copulas », Extremes, 17:4, Extremes in Finance (décembre 2014), 633–659.
Genest, C., Nešlehová, J., « On tests of radial symmetry for bivariate copulas », Statistical Papers, 55 (novembre 2014), 1107–1119.
Genest, C., Nešlehová, J., « A conversation with James O. Ramsay », International Statistical Review / Revue internationale de statistique, 82:2 (août 2014), 161–183.
Charpentier, A., Fougères, A.-L., Genest, C., Nešlehová, J., « Multivariate Archimax copulas », Journal of Multivariate Analysis, 126 (avril 2014), 118–136.
Genest, C., Nešlehová, J., Rémillard, B., « On the empirical multilinear copula process for count data », Bernoulli, 20:3 (2014), 1344–1371.
Du, Y., Khalili, A., Nešlehová, J., Steele, R., « Simultaneous fixed and random effects selection in finite mixture of linear mixed-effects models », The Canadian Journal of Statistics / La revue canadienne de statistique, 41:4 (décembre 2013), 596–616.
Du, Y., Nešlehová, J., « A moment-based test for extreme-value dependence », Metrika, 76:5 (juillet 2013), 673–695.
Genest, C., Nešlehová, J., Rémillard, B., « On the estimation of Spearman’s rho and related tests of independence for possibly discontinuous multivariate data », Journal of Multivariate Analysis, 117 (mai 2013), 214–228.
Acar, E. F., Genest, C., Nešlehová, J., « Beyond simplified pair-copula constructions », Journal of Multivariate Analysis, 110, Special issue on copula modeling and dependence (septembre 2012), 74–90.
Genest, C., Nešlehová, J., Quessy, J.-F., « Tests of symmetry for bivariate copulas », Annals of the Institute of Statistical Mathematics, 64:4 (août 2012), 811–834.

Other journal articles:

Genest, C., Nešlehová, J., « James O. Ramsay: Honorary Member of the SSC », SSC Liaison, 26:3 (août 2014), 24–26.
Genest, C., Nešlehová, J., « Königsberg’s bridges, Holland’s dikes, and Wall Street’s downfall / Les ponts de Königsberg. les digues de Hollande et la chute de Wall Street », SSC Liaison, 27:3 (août 2013), 56–58.

Peer-reviewed conference proceedings:

Genest, C., Nešlehová, J., « When Gumbel met Galambos », in Copulas and Dependence Models with Applications, M. Úbeda Flores, E. de Amo Artero, F. Durante, J. Fernández Sánchez, éd., Cham, Springer, 2017, 83–93.
Genest, C., Nešlehová, J., « Assessing and modeling asymmetry in bivariate continuous data », in Copulae in Mathematical and Quantitative Finance, Proceedings of the Workshop Held in Cracow, 10-11 July 2012, P. Jaworski, F. Durante, W. K. Härdle, éd., Lectures Notes in Statistics, Vol. 213, Berlin, Springer, 2013, 91–114.
Powers, L., Nešlehová, J., Stephens, D. A., « Pricing American options in an infinite activity Lévy market: Monte Carlo and deterministic approaches using a diffusion approximation », in Numerical Methods in Finance, Numerical Methods in Finance (Bordeaux, 2010), R. A. Carmona, P. Del Moral, P. Hu, N. Oudjane, éd., Springer Proceedings in Mathematics, Vol. 12, Berlin, Springer, 2012, 291–321.

Karim Oualkacha

Peer-reviewed journal articles:

Turgeon, M., Oualkacha, K., Ciampi, A., Miftah, H., Dehghan, G., Zanke, B. W., Benedet, A., Rosa-Neto, P., Greenwood, C. M. T., Labbe, A., et al., « Principal component of explained variance: An efficient and optimal data dimension reduction framework for association studies », Statistical Methods in Medical Research, 27:5 (mai 2018), 1331–1350.
Lakhal Chaieb, L., Greenwood, C. M. T., Ouhourane, M., Zhao, K., Abdous, B., Oualkacha, K., « A smoothed EM-algorithm for DNA methylation profiles from sequencing-based methods in cell lines or for a single cell type », Statistical Applications in Genetics and Molecular Biology, 16:5-6 (décembre 2017), 333–347.
Mkhadri, A., Ouhourane, M., Oualkacha, K., « A coordinate descent algorithm for computing penalized smooth quantile regression », Statistics and Computing, 27:4 (juillet 2017), 865–883.
Sun, J., Oualkacha, K., Forgetta, V., Zheng, H.-F., Ciampi, A., Greenwood, C. M. T., et al., « A method for analyzing multiple continuous phenotypes in rare variant association studies allowing for flexible correlations in variant effects », European Journal of Human Genetics, 24:9 (août 2016), 1344–1351.
Lakhal Chaieb, L., Oualkacha, K., Richards, B., Greenwood, C. M. T., « A rare variant association test in family-based designs and non-normal quantitative traits », Statistics in Medicine, 35:6 (mars 2016), 905–921.
Sun, J., Bhatnagar, S., Oualkacha, K., Ciampi, A., Greenwood, C. M. T., « Joint analysis of multiple blood pressure phenotypes in GAW19 data by using a multivariate rare-variant association test », BMC Proceedings, 10:Suppl. 7 (2016), 309–313.
Walter, K., Min, J. L., Huang, J., Crooks, L., Memari, Y., McCarthy, S., Perry, J. R. B., Xu, C., Futema, M., Lawson, D., Iotchkova, V., Schiffels, S., Hendricks, A. E., Danecek, P., Li, R., Floyd, J., Wain, L. V., Barroso, I., Humphries, S. E., Hurles, M. E., Zeggini, E., Barrett, J. C., Plagnol, V., Richards, J. B., Greenwood, C. M. T., Timpson, N. J., Durbin, R., Soranzo, N., Oualkacha, K., et al., « The UK10K project identifies rare variants in health and disease », Nature, 526 (octobre 2015), 82–90.
Dufresne, L., Oualkacha, K., Forgetta, V., Greenwood, C. M. T., « Pathway analysis for genetic association studies: to do, or not to do? That is the question », BMC Proceedings, 8:Suppl. 1 (2014), S103, 5&npsp;p.
Oualkacha, K., Dastani, Z., Cingolani, P. E., Spector, T. D., Hammond, C. J., Richards, J. B., Ciampi, A., Greenwood, C. M. T., « Adjusted sequence kernel association test for rare variants controlling for cryptic and family relatedness », Genetic Epidemiology, 37:4 (mai 2013), 366–376.
Oualkacha, K., Rivest, L.-P., « On the estimation of an average rigid body motion », Biometrika, 99:3 (septembre 2012), 585–598.
Oualkacha, K., Labbe, A., Ciampi, A., Roy, M.-A., Maziade, M., « Principal components of heritability for high dimension quantitative traits and general pedigrees », Statistical Applications in Genetics and Molecular Biology, 11:2 (janvier 2012), 4, 27 p.

François Perron

Peer-reviewed journal articles:

Marchand, É., Perron, F., Yadegari, I., « On estimating a bounded normal mean with applications to predictive density estimation », Electronic Journal of Statistics, 11:1 (2017), 2002–2025.
Ait Aoudia, D., Marchand, É., Perron, F., « Counts of Bernoulli success strings in a multivariate framework », Statistics & Probability Letters, 119 (décembre 2016), 1–10.
Guillotte, S., Perron, F., « Polynomial Pickands functions », Bernoulli, 22:1 (février 2016), 213–241.
Marchand, É., Ait Aoudia, D., Perron, F., Ben Hadj Slimene, L., « On runs, bivariate poisson mixtures and distributions that arise in Bernoulli arrays », Electronic Communications in Probability, 19 (2014), 8, 12 p.
Ait Aoudia, D., Perron, F., « A new randomized polya urn model », Applied Mathematics, 3:12A (décembre 2012), 2118–2122.
Jafari Jozani, M., Majidi, S., Perron, F., « Unbiased and almost unbiased ratio estimators of the population mean in ranked set sampling », Statistical Papers, 53:3 (août 2012), 719–737.
Perron, F., Guillotte, S., « Bayesian estimation of a bivariate copula using the Jeffreys prior », Bernoulli, 18:2 (mai 2012), 496–519.

Robert W. Platt

Book chapters:

Schnitzer, M., van der Laan, M., Moodie, E. E. M., Platt, R. W., « LTMLE with clustering », in Targeted Learning in Data Science, Springer Series in Statistics, Vol. 15, Cham, Springer, 2018.

Peer-reviewed journal articles:

Karim, M. E., Petkau, A. J., Gustafson, P., Platt, R. W., Tremlett, H., et al., « Comparison of statistical approaches dealing with time-dependent confounding in drug effectiveness studies », Statistical Methods in Medical Research, 27:6 (juin 2018), 1709–1722.
Simoneau, G., Moodie, E. E. M., Platt, R. W., Chakraborty, B., « Non-regular inference for dynamic weighted ordinary least squares: understanding the impact of solid food intake in infancy on childhood weight », Biostatistics, 19:2 (avril 2018), 233–246.
Gravel, C., Platt, R. W., « Weighted estimation for confounded binary outcomes subject to misclassification », Statistics in Medicine, 37:3 (février 2018), 425–436.
Karim, M. E., Platt, R. W., et al., « Estimating inverse probability weights using super learner when weight-model specification is unknown in a marginal structural Cox model context », Statistics in Medicine, 36:13 (juin 2017), 2032–2047.
Karim, M. E., Platt, R. W., et al., « Estimating inverse probability weights using super learner when weight-model specification is unknown in a marginal structural Cox model context », Statistics in Medicine, 36:13 (juin 2017), 2032–2047.
Ashley-Martin, J., Dodds, L., Arbuckle, T. E., Fisher, M., Morriset, A.-S., Monnier, P., Shapiro, G. D., Ettinger, A. S., Dallaire, R., Taback, S., Fraser, W. D., Platt, R. W., Bouchard, M. F., « Maternal concentrations of perfluoroalkyl substances and fetal markers of metabolic function and birth weight: The Maternal-Infant Research on Environmental Chemicals (MIREC) Study », American Journal of Epidemiology, 185:3 (février 2017), 185–193.
Kramer, M. S., Zhang, X., Bin Aris, I., Dahhou, M., Naimi, A., Yang, S., Martin, R. M., Oken, E., Platt, R. W., « Methodological challenges in studying the causal determinants of child growth », International Journal of Epidemiology, 45:6 (décembre 2016), 2030–2037.
Goring, S. M., Gustafson, P., Liu, Y., Saab, S., Cline, S. K., Platt, R. W., « Disconnected by design: analytic approach in treatment networks having no common comparator », Research Synthesis Methods, 7:4 (décembre 2016), 420–432.
Pang, M., Schuster, T., Filion, K. B., Schnitzer, M., Eberg, M., Platt, R. W., « Effect estimation in point-exposure studies with binary outcomes and high-dimensional covariate data–A comparison of targeted maximum likelihood estimation and inverse probability of treatment weighting », The International Journal of Biostatistics, 12:2 (novembre 2016), 20150034.
Lian, Y., Pollak, M. N., Carrier, S., Platt, R. W., Suissa, S., « Phosphodiesterase type 5 inhibitors and the risk of melanoma skin cancer », European Urology, 70:5 (novembre 2016), 808–815.
Pang, M., Schuster, T., Filion, K. B., Schnitzer, M., Eberg, M., Platt, R. W., « Effect estimation in point-exposure studies with binary outcomes and high-dimensional covariate data—A comparison of targeted maximum likelihood estimation and inverse probability of treatment weighting », The International Journal of Biostatistics, 12:2 (novembre 2016), 20150034, 13 p.
Pang, M., Schuster, T., Filion, K. B., Schnitzer, M., Eberg, M., Platt, R. W., « Effect estimation in point-exposure studies with binary outcomes and high-dimensional covariate data—a comparison of targeted maximum likelihood estimation and inverse probability of treatment weighting », The International Journal of Biostatistics, 12:2 (novembre 2016), 20150034, 13 p.
Pang, M., Kaufman, J. S., Platt, R. W., « Studying noncollapsibility of the odds ratio with marginal structural and logistic regression models », Statistical Methods in Medical Research, 25:5 (octobre 2016), 1925–1937.
Vinet, É., Genest, G., Scott, S., Pineau, C. A., Clarke, A. E., Platt, R. W., Bernatsky, S., « Causes of Stillbirths in Women With Systemic Lupus Erythematosus », Arthritis & Rheumatology, 68:10 (octobre 2016), 2487–2491.
Fell, D., Buckeridge, D. L., Platt, R. W., Kaufman, J. S., Basso, O., « Circulating influenza virus and adverse pregnancy outcomes: A time-series study », American Journal of Epidemiology, 184:3 (août 2016), 163–175.
Auger, N., Luo, Z.-C., Nuyt, A. M., Kaufman, J. S., Naimi, A., Platt, R. W., Fraser, W. D., « Secular trends in preeclampsia incidence and outcomes in a large Canada database: A longitudinal study over 24 years », Canadian Journal of Cardiology / Journal canadien de cardiologie, 32:8 (août 2016), 987.e15–987.e23.
Henry, D., Dormuth, C. R., Winquist, B., Carney, G., Bugden, S., Teare, G., Lévesque, L., Bérard, A., Paterson, M., Platt, R. W., « Occurrence of pregnancy and pregnancy outcomes during isotretinoin therapy », CMAJ, 188:10 (juillet 2016), 723–730.
Hutcheon, J. A., Jacobsen, G. W., Kramer, M. S., Martinussen, M., Platt, R. W., « Small size at birth or abnormal intrauterine growth trajectory: Which matters more for child growth? », American Journal of Epidemiology, 183:12 (juin 2016), 1107–1113.
Pullenayegum, E., Platt, R. W., Barwick, M., Feldman, B. M., Offringa, M., Thabane, L., « Knowledge translation in biostatistics: a survey of current practices, preferences, and barriers to the dissemination and uptake of new statistical methods », Statistics in Medicine, 35:6 (mars 2016), 805–818.
Platt, R. W., Dormuth, C. R., Chateau, D., Filion, K. B., « Observational studies of drug safety in multi-database studies: Methodological challenges and opportunities », EGEMS (Washington, DC), 4:1 (2016), 9, 8 p.
Schuster, T., Pang, M., Platt, R. W., « On the role of marginal confounder prevalence—Implications for the high-dimensional propensity score algorithm », Pharmacoepidemiology and Drug Safety, 24:9 (septembre 2015), 1004–1007.
Shivkumar, S., Himes, K. P., Hutcheon, J. A., Platt, R. W., « An ultrasound-based fetal weight reference for twins », American Journal of Obstetrics and Gynecology, 213:2 (août 2015), 224.e1–224.e9.
Sawada, N., Gagne, F., Séguin, L., Kramer, M. S., McNamara, H., Platt, R. W., « Maternal prenatal felt security and infant health at birth interact to predict infant fussing and crying at 12 months postpartum », Health Psychology, 34:8 (août 2015), 811–819.
Garfinkle, J., Wintermark, P., Shevell, M. I., Platt, R. W., Oskoui, M., « Cerebral palsy after neonatal encephalopathy: How much is preventable? », The Journal of Pediatrics, 167:1 (juillet 2015), 58–63, 63.e1.
Tamblyn, R., Ernst, P., Winslade, N., Huang, A., Grad, R., Platt, R. W., « Evaluating the impact of an integrated computer-based decision support with person-centered analytics for the management of asthma in primary care: a randomized controlled trial. », Journal of the American Medical Informatics Association, 22:4 (juillet 2015), 773–783.
Ashley-Martin, J., Dodds, L., Levy, A. R., Platt, R. W., Marshall, J. S., Arbuckle, T. E., « Prenatal exposure to phthalates, bisphenol A and perfluoroalkyl substances and cord blood levels of IgE TSLP and IL-33 », Environmental Research, 140 (avril 2015), 360–368.
Weiss, J. W., Platt, R. W., Thorp, M. L., Yang, X., Smith, D. H., Petrik, A., « Predicting Mortality in Older Adults with Kidney Disease: A Pragmatic Prediction Model », Journal of the American Geriatrics Society, 63:3 (mars 2015), 508–515.
Messerlian, C., Platt, R. W., Ata, B., Tan, S. L., Basso, O., « Do the Causes of Infertility Play a Direct Role in the Aetiology of Preterm Birth? », Paediatric Perinatal Epidemiology, 29:2 (mars 2015), 101–112.
Hutcheon, J. A., Platt, R. W., Abrams, B., Himes, K. P., Simhan, H. N., Bodnar, L. M., « Pregnancy weight gain charts for obese and overweight women », Obesity, 23:3 (mars 2015), 532–535.
Ashley-Martin, J., Dodds, L., Arbuckle, T. E., Levy, A. R., Platt, R. W., Marshall, J. S., « Predictors of interleukin-33 and thymic stromal lymphopoietin levels in cord blood », Pediatric Allergy and Immunology, 26:2 (mars 2015), 161–167.
Ahrens, K. A., Westreich, D., Platt, R. W., Schisterman, E. F., Cole, S. R., « A Cautionary Note About Estimating Effects of Secondary Exposures in Cohort Studies », American Journal of Epidemiology, 181:3 (février 2015), 198–203.
Bodnar, L. M., Platt, R. W., Simhan, H. N., « Early-Pregnancy vitamin D deficiency and risk of preterm brith subtypes », Obstetrics and Gynecology, 125:2 (février 2015), 439–447.
Abenhaim, H., Wilchesky, M., Platt, R. W., Eberg, M., Tulandi, T., Suissa, S., « 801: Effect of cesarean deliveries on the risk of hospital admissions for small bowel obstruction », American journal of obstetrics and gynecology, 212:1 (janvier 2015), S388.
Mumford, S., Schisterman, E. F., Cole, S. R., Westreich, D., Platt, R. W., « Time a risk and intentio-to-treat analyses: Parallels and implications for inference », Epidemiology, 26:1 (janvier 2015), 112–118.
Fortin, E., Gonzales, M., Fontela, P. S., Platt, R. W., Buckeridge, D. L., Quach, C., « Improving quality of data extractions for the computation of patient-days and admissions », American Journal of Infection Control, 43:2 (décembre 2014), 174–176.
Messerlian, C., Platt, R. W., Tan, S. L., Gagnon, R., Basso, O., « Low-technology assisted reproduction and the risk of preterm birth in a hospital-based cohort », Fertility and Sterility, 103:1 (novembre 2014), 81–88.
Vinet, É., Pineau, C. A., Scott, S., Clarke, A. E., Platt, R. W., Bernatsky, S., « Increased Congenital Heart Defects in Children Born to Women With Systemic Lupus Erythematosus Results From the Offspring of Systemic Lupus Erythematosus Mothers Registry Study », Circulation, 131:2 (octobre 2014), 149–156.
Barlow, K., Brooks, B. L., Macmaster, F., Kirton, A., Seeger, T. A., Esser, M. J., Nettel-Aguirre, A., Zemek, R. L., Emery, C., Hill, M. D., Turley, B., Richer, L., Platt, R. W., Dewey, D., Crawford, S., Angelo, M., Kirk, V., Johnson, D., Buchhalter, J., Hutchison, J., « A double-blind, placebo-controlled intervention trial of 3 and 10 mg sublingual melatonin for post-concussion syndrome in youths (PLAYGAME): study protocol for a randomized controlled trial », Trials, 15:1 (juillet 2014), 271.
Fortin, E., Fontela, P. S., Manges, A. R., Platt, R. W., Buckeridge, D. L., Quach, C., « Measuring antimicrobial use in hospitalized patients: a systematic review of available measures applicable to paediatrics », Journal of Antimicrobial Chemotherapy, 69:6 (juin 2014), 1447–1456.
Regier, M., Moodie, E. E. M., Platt, R. W., « The effect of error-in-confounders on the estimation of the causal parameter when using marginal structural models and inverse probability-of-treatment weights: a simulation study », The International Journal of Biostatistics, 10:1 (mai 2014), 1–15.
Regier, M., Moodie, E. E. M., Platt, R. W., « The effect of error-in-confounders on the estimation of the causal parameter when using marginal structural models and inverse probability-of-treatment weights: a simulation study », The International Journal of Biostatistics, 10:1 (mai 2014), 1–15.
Regier, M., Moodie, E. E. M., Platt, R. W., « The effect of error-in-confounders on the estimation of the causal parameter when using marginal structural models and inverse probability- of-treatment weights: A simulation study », The International Journal of Biostatistics, 10:1 (mai 2014), 1–15.
Lipscombe, L. L., Austin, P. C., Alessi-Severini, S., Blackburn, D. F., Blais, L., Bresee, L. C., Filion, K. B., Kawasumi, Y., Kurdyak, P., Platt, R. W., Tamim, H., Paterson, J. M., et al., « Atypical antipsychotics and hyperglycemic emergencies: Multicentre, retrospective cohort study of administrative data », Schizophrenia Research, 154:1-3 (avril 2014), 54–60.
Foster, B. J., Dahhou, M., Zhang, X., Platt, R. W., Hanley, J. A., Smith, J. M., « Impact of HLA Mismatch at First Kidney Transplant on Lifetime With Graft Function in Young Recipients », American Jorunal of Transplantation, 14:4 (avril 2014), 876–885.
McNamara, H., Hutcheon, J. A., Platt, R. W., Benjamin, A., Kramer, M. S., « Risk factors for high and low placental weight », Paediatric Perinatal Epidemiology, 28:2 (mars 2014), 97–105.
Yang, S., Platt, R. W., Dahhou, M., Kramer, M. S., « Do population-based interventions widen or narrow socioeconomic inequalities? The case of breastfeeding promotion », International Journal of Epidemiology, 43:4 (mars 2014), 1284–1292.
Santschi, V., Chiolero, A., Colosimo, A., Platt, R. W., Taffé, P., Burnier, M., Burnand, B., Paradis, G., « Improving Blood Pressure Control Through Pharmacist Interventions: A Meta-Analysis of Randomized Controlled Trials », Journal of the American Heart Association/Cardiovascular and Cerebrovascular Disease, 3:2 (mars 2014), e000718.
Bodnar, L. M., Simhan, H. N., Catov, J. M., Roberts, J. M., Platt, R. W., Diesel, J. C., « Maternal vitamin D Status and the risk of mild and severe preeclampsia », Epidemiology, 25:2 (mars 2014), 207–214.
Schnitzer, M., Moodie, E. E. M., van der Laan, M., Platt, R. W., Klein, M. B., « Modeling the impact of hepatitis C viral clearance on end-stage liver disease in an HIV co-infected cohort with targeted maximum likelihood estimation », Biometrics, 70:1 (mars 2014), 144-152.
Kramer, M. S., Zhang, X., Platt, R. W., « Analyzing risks of adverse prengnancy outcomes », American Journal of Epidemiology, 179:3 (février 2014), 361–367.
Bodnar, L. M., Klebanoff, M. A., Gernand, A. D., Platt, R. W., Parks, W. T., Catov, J. M., Simhan, H. N., « Maternal vitamin D status and spontaneous preterm birth by placental histology in the US collaborative perinatal project », American Journal of Epidemiology, 179:2 (janvier 2014), 168–176.
Benetti, A., Platt, R. W., Atherton, J., « Generalized Linear Mixed Models for Binary Data: Are Matching Results from Penalized Quasi-Likelihood and Numerical Integration Less Biased? », PLoS One, 9:1 (janvier 2014), e84601,11 p.
Bodnar, L. M., Parks, W. T., Perkins, K., Abrams, B., Feghali, M., Pugh, S., Florio, K., Young, O. M., Bernstein, S., Platt, R. W., Simhan, H. N., « 73: Prepregnancy obesity and the risk of cause-specific stillbirth », American journal of obstetrics and gynecology, 2010:1 (janvier 2014), S49.
Regier, M., Moodie, E. E. M., Platt, R. W., « The effect of error-in-confounders on the estimation of the casual parameter when using marginal structural models and inverse probability-of-treatment weights: a simulation study », The International Journal of Biostatistics, 10:1 (2014), 1–15.
Schnitzer, M., van der Laan, M., Moodie, E. E. M., Platt, R. W., « Effect of breastfeeding on gastrointestinal infection in infants: a targeted maximum likelihood approach for clustered longitudinal data », The Annals of Applied Statistics, 8:2 (2014), 703–725.
Kramer, M. S., Kahn, S. R., Dahhou, M., Otvos, J., Genest, J., Platt, R. W., Evans, R. W., « Maternal lipids and Small for gestional age birth at term », The Journal of Pediatrics, 163:4 (octobre 2013), 983–988.
Shrier, I., Kaufman, J. S., Platt, R. W., Steele, R., « Principal stratification: A broader vision », The International Journal of Biostatistics, 9:2 (octobre 2013), 307–313.
Schisterman, E. F., Cole, S., Platt, R. W., Ye, A., « Accuracy loss due to selection bias in cohort studies with left truncation », Paediatric Perinatal Epidemiology, 27:5 (septembre 2013), 491–502.
Arbuckle, T. E., Fraser, W. D., Fisher, M., Davis, K., Lei Liang, C., Lupien, N., Bastien, S., Velez, M. P., von Dadelszen, P., Hemmings, D. G., Wang, J., Helewa, M., Taback, S., Sermer, M., Foster, W., Ross, G., Fredette, P., Smith, G., Walker, M., Shear, R., Dodds, L., Ettinger, A. S., Webber, P., D’Amour, M., Legrand, M., Kumarathasan, P., Vincent, R., Luo, Z.-C., Platt, R. W., Mitchell, G., Hidiroglou, N., Cockell, K., Villeneuve, M., Rawn, D. F. K., Dabeka, R., Cao, X.-L., Becalski, A., Ratnayake, N., Bondy, G., Jin, X., Wang, Z., Tittlemier, S., Julien, P.-O., « Cohort Profile: The maternal-infant research on environmental chemicals research platform », Paediatric Perinatal Epidemiology, 27:4 (juillet 2013), 415–425.
Hutcheon, J. A., Platt, R. W., Abrams, B., Himes, K. P., Simhan, H. N., Bodnar, L. M., « A weight-gain-for gestional-age z score chart for the assessment of maternal weight gain in pregnancy », The American Journal of Clinical Nutrition, 97:5 (mai 2013), 1062–1067.
Kramer, M. S., Lydon, J., Goulet, L., Kahn, S. R., Dahhou, M., Platt, R. W., Sharma, S. D., Meaney, M. J., Séguin, L., « Maternal stress/distress, hormonal pathways and spontaneous preterm birth », Paediatric Perinatal Epidemiology, 27:3 (mai 2013), 237–246.
Platt, R. W., Brookhart, M. A., Cole, S., Westreich, D., Schisterman, E. F., « An information criterion for marginal structural models », Statistics in Medicine, 32:8 (avril 2013), 1383–1393.
Foster, B. J., Gao, T., Mackie, A. S., Zemel, B. S., Ali, H., Platt, R. W., Colan, S. D., « Limitations of expressing left ventricular mass relative to height and to body surface area in children », Journal of the american society of echocardiography, 26:4 (avril 2013), 410–418.
Fontela, P. S., Rocher, I., Platt, R. W., Pai, M., Buckeridge, D. L., Frenette, C., Dionne, M., Quach, C., « Evaluation of the reporting validity of central line-associated bloodstream infection data to a provincial surveillance program », Infection Control and Hospital Epidemiology, 34:2 (février 2013), 217–219.
Schnitzer, M., Moodie, E. E. M., Platt, R. W., « Targeted maximum likelihood estimation for marginal time-dependent treatment effects under density misspecification », Biostatistics, 14:1 (janvier 2013), 1–14.
Platt, R. W., Harper, S., « Survey data with sampling weights: Is a there a “best” approach? », Environmental Research, 120 (janvier 2013), 143–144.
Pang, M., Kaufman, J. S., Platt, R. W., « Mixing of confounding and non-collapsibility: a notable deficiency of the odds ratio », American Journal of Cardioligy, 111:2 (janvier 2013), 302–303.
Ness, R. B., Bodnar, L. M., Holzman, C., Platt, R. W., Savitz, D. A., Shaw, G. M., Klebanoff, M., « Thoughts on the future of reproductive and perinatal epidemiology », Paediatric Perinatal Epidemiology, 27:1 (janvier 2013), 11–19.
Kramer, M. S., Moodie, E. E. M., Platt, R. W., « Commentary: Infant feeding and growth: Can we answer the causal question? », Epidemiology, 23:6 (novembre 2012), 790–794.
Kramer, M. S., Moodie, E. E. M., Platt, R. W., « Infant feeding and growth: can we answer the casual question? », Epidemiology, 23:6 (novembre 2012), 790–794.
Chiolero, A., Santschi, V., Burnand, B., Platt, R. W., Paradis, G., « Meta-analyses: with confidence or prediction intervals? », European Journal of Epidemiology, 27:10 (octobre 2012), 823–825.
Wilchesky, M., Ernst, P., Brophy, J. M., Platt, R. W., Suissa, S., « Bronchodilator Use and the Risk of Arrhythmia in COPD: Part 2: Reassessment in the Larger Quebec Cohort », Chest, 142:2 (août 2012), 305–311.
Wilchesky, M., Ernst, P., Brophy, J. M., Platt, R. W., Suissa, S., « Bronchodilator Use and the Risk of Arrhythmia in COPD: Part 1: Saskatchewan Cohort Study », Chest, 142:2 (août 2012), 298–304.
Westreich, D., Cole, S., Schisterman, E. F., Platt, R. W., « A simulation study of finite-sample properties of marginal structural Cox proportional hazards models », Statistics in Medicine, 31:19 (août 2012), 2098–2109.
Osypuk, T. L., Howard Caldwell, C., Platt, R. W., Misra, D., « The consequences of foreclosure for depressive symptomatology », Annals of Epidemiology, 22:6 (juin 2012), 379–387.
Hutcheon, J. A., McNamara, H., Platt, R. W., Benjamin, A., Kramer, M. S., « Placental weight for gestational age and adverse perinatal outcomes », Obstetrics and Gynecology, 119:6 (juin 2012), 1251–1258.
Foster, B. J., Platt, R. W., Zemel, B. S., « Development and validation of a predictive equation for lean body mass in children and adolescents », Annals of Human Biology, 39:3 (mai 2012), 171–182.
Fontela, P. S., Quach, C., Buckeridge, D. L., Pai, M., Platt, R. W., « Surveillance length and validity of benchmarks for central line-associated bloodstream infection incidence rates in intensive care units », PLoS One, 7:5 (mai 2012), e36582.
Vinet, É., Labrecque, J., Pineau, C. A., Clarke, A. E., St-Pierre, Y., Platt, R. W., Bernatsky, S., « A population-based assessment of live births in women with systemic lupus erythematosus », Annals of the Rheumatic Diseases, 71:4 (avril 2012), 557–559.
Hutcheon, J. A., M. Bodnar, L., Joseph, K. S., Abrams, B., Simhan, H. N., Platt, R. W., « The bias in current measures of gestational weight gain », Paediatric and Perinatal Epidemiology, 26:2 (mars 2012), 109–116.
Auger, N., Park, A., Harper, S., Daniel, M., Roncarolo, F., Platt, R. W., « Educational inadequalities in preterm and term small-for-gestational-age birth over time », Annals of Epidemiology, 22:3 (mars 2012), 160–167.
Auger, N., Delézire, P., Harper, S., Platt, R. W., « Maternal education and stillbirth: estimating gestional-age-specific and cause-specific associations », Epidemiology, 23:2 (mars 2012), 247–254.
Platt, R. W., Delaney, J. A. C., Suissa, S., « The positivity assumption and marginal structural models: the example of warfarin use and risk of bleeding », European Journal of Epidemiology, 27:2 (février 2012), 77–83.

Bruno Rémillard

Monographs and books:

Rémillard, B., Statistical Methods for Financial Engineering, Boca Raton, FL, CRC Press, 2013.

Book chapters:

Rémillard, B., « Statistics in financial engineering », in Statistics in Action: A Candian Outlook, J. F. Lawless, éd., Boca Raton, FL, CRC Press, 2014.

Peer-reviewed journal articles:

Ghoudi, K., Rémillard, B., « Serial independence tests for innovations of conditional mean and variance models », TEST, 27:1 (mars 2018), 3–26.
Rémillard, B., Nasri, B., Bouezmarni, T., « On copula-based conditional quantile estimators », Statistics & Probability Letters, 128 (septembre 2017), 14–20.
Genest, C., Nešlehová, J., Rémillard, B., « Asymptotic behavior of the empirical multilinear copula process under broad conditions », Journal of Multivariate Analysis, 159 (juillet 2017), 82–110.
Ben-Ameur, H., Chérif, R., Rémillard, B., « American-style options in jump-diffusion models: estimation and evaluation », Quantitative Finance, 16:8 (2016), 1313–1324.
Dupuis, D. J., Papageorgiou, N., Rémillard, B., « Robust conditional variance and value-at-risk estimation », Journal of Financial Econometrics 13:4 (septembre 2015), 896–921.
Hocquard, A., Papageorgiou, N., Rémillard, B., « The payoff distribution model: an application to dynamic portfolio insurance », Quantitative Finance, 15:2, Themed Issue on Trading (2015), 299–312.
Simard, C., Rémillard, B., « Forecasting time series with multivariate copulas », Dependence Modeling, 3:1 (2015), 59–82.
Ghoudi, K., Rémillard, B., « Comparison of specification tests for GARCH models », Computational Statistics & Data Analysis, 76 (août 2014), 291–300.
Rémillard, B., Vaillancourt, J., « On signed measure valued solutions of stochastic evolution equations », Stochastic Processes and their Applications, 124:1 (janvier 2014), 101–122.
Genest, C., Nešlehová, J., Rémillard, B., « On the empirical multilinear copula process for count data », Bernoulli, 20:3 (2014), 1344–1371.
Rémillard, B., Rubenthaler, S., « Optimal hedging in discrete time », Quantitative Finance, 13:6 (juin 2013), 819–825.
Genest, C., Nešlehová, J., Rémillard, B., « On the estimation of Spearman’s rho and related tests of independence for possibly discontinuous multivariate data », Journal of Multivariate Analysis, 117 (mai 2013), 214–228.
Duchesne, P., Ghoudi, K., Rémillard, B., « On testing for independence between the innovations of several time series », The Canadian Journal of Statistics / La revue canadienne de statistique, 40:3 (septembre 2012), 447–479.
Rémillard, B., Papageorgiou, N., Soustra, F., « Copula-based semiparametric models for multivariate time series », Journal of Multivariate Analysis, 110, Special Issue on Copula Modeling and Dependence (septembre 2012), 30–42.

Peer-reviewed conference proceedings:

Ghoudi, K., Rémillard, B., « Diagnostic tests for innovations of ARMA models using empirical processes of residuals », in Asymptotic Laws and Methods in Stochastics , Fields Institute International Symposium on Asymptotic Methods in Stochastics, D. Dawson, R. Kulik, M. Ould Haye, B. Szyszkowicz, Y. Zhao, éd., Fields Institute Communications, Vol. 76, New York, Springer, 2015, 239–282.
Rémillard, B., Langlois, H., Hocquard, A., Papageorgiou, N., « Optimal hedging of American options in discrete time », in Numerical Methods in Finance, Numerical Methods in Finance (Bordeaux, 2010), R. A. Carmona, P. Del Moral, P. Hu, N. Oudjane, éd., Springer Proceedings in Mathematics, Vol. 12, Berlin, Springer, 2012, 145–170.
Del Moral, P., Rémillard, B., Rubenthaler, S., « Monte Carlo approximations of American options that preserve monotonicity and convexity », in Numerical Methods in Finance, Numerical Methods in Finance (Bordeaux, 2010), R. A. Carmona, P. Del Moral, P. Hu, N. Oudjane, éd., Springer Proceedings in Mathematics, Vol. 12, Berlin, Springer, 2012, 115–143.

Research reports:

Duchesne, T., Rémillard, B., Marcotte, O., « Septième atelier de résolution de problèmes industriels de Montréal / Seventh Montréal Industrial Problem Solving Workshop », Centre de recherches mathématiques, CRM-3358, avril 2017.
Rémillard, B., « Non-parametric change problems using multipliers », SSRN, 2043632, avril 2012.
Rémillard, B., « Specification for dynamic models using multipliers », SSRN, 2028558, mars 2012.

Louis-Paul Rivest

Book chapters:

Rivest, L.-P., Baillargeon, S., « Capture-recapture methods for estimating the size of a population: dealing with variable capture probabilities », in Statistics in Action: A Canadian Outlook, J. F. Lawless, éd., Boca Raton FL, CRC Press, 2014.

Peer-reviewed journal articles:

Genest, C., Nešlehová, J., Rivest, L.-P., « The class of multivariate max-id copulas with $\ell_1$-norm symmetric exponent measure », Bernoulli, 24:4B (novembre 2018), 3751–3790.
Nicosia, A., Duchesne, T., Rivest, L.-P., Fortin, D., « A multi-state conditional logistic regression model for the analysis of animal movement », The Annals of Applied Statistics, 11:3 (septembre 2017), 1537–1560.
Nicosia, A., Duchesne, T., Rivest, L.-P., Fortin, D., « A general hidden state random walk model for animal movement », Computational Statistics & Data Analysis, 105 (janvier 2017), 76–95.
Rivest, L.-P., Verret, F., Baillargeon, S., « Unit level small area estimation with copulas », The Canadian Journal of Statistics / La revue canadienne de statistique, 44:4 (décembre 2016), 397–415.
Quessy, J.-F., Rivest, L.-P., Toupin, M.-H., « On the family of multivariate chi-square copulas », Journal of Multivariate Analysis, 152 (décembre 2016), 40–60.
Rivest, L.-P., Duchesne, T., Nicosia, A., Fortin, D., « A general angular regression model for the analysis of data on animal movement in ecology », Journal of the Royal Statistical Society. Series C. Applied Statistics, 65:3 (avril 2016), 445–463.
Vallée, A.-A., Ferland-Raymond, B., Rivest, L.-P., Tillé, Y., « Incorporating spatial and operational constraints in the sampling designs for forest inventories », Environmetrics, 26:8 (décembre 2015), 557–570.
Quessy, J.-F., Rivest, L.-P., Toupin, M.-H., « Semi-parametric pairwise inference methods in spatial models based on copulas », Spatial Statistics, 14:part B (novembre 2015), 472–490.
Tounkara, F., Rivest, L.-P., « Mixture regression models for closed population capture-recapture data », Biometrics, 71:3 (septembre 2015), 721–730.
Duchesne, T., Fortin, D., Rivest, L.-P., « Equivalence between step selection functions and biased correlated random walks for statistical inference on animal movement », PLoS One, 10:4 (avril 2015), e0122947, 12 p.
Bordet, C., Rivest, L.-P., « A stochastic Pella Tomlinson model and its maximum sustainable yield », Journal of Theoretical Biology, 360 (novembre 2014), 46–53.
Romdhani, H., Lakhal-Chaieb, L., Rivest, L.-P., « An exchangeable Kendall’s tau for clustered data », The Canadian Journal of Statistics / La revue canadienne de statistique, 42:3 (septembre 2014), 384–403.
Romdhani, H., Lakhal-Chaieb, L., Rivest, L.-P., « Kendall’s tau for hierarchical data », Journal of Multivariate Analysis, 128 (juillet 2014), 210–225.
Savard, N., Levallois, P., Rivest, L.-P., Gingras, S., « Impact of individual and ecological chatacteristics on small for gestional age births: an observational study in Quebec », Chronic Diseases and Injuries in Canada, 34:1 (février 2014), 46–54.
Tounkara, F., Rivest, L.-P., « Some new random effect models for correlated binary responses », Dependence Modeling, 2 (janvier 2014), 73–87.
Guerrier, M., Turcotte, S., Labrecque, M., Rivest, L.-P., « Shared decision making does not influence physicians against clinical practice guidelines », PLoS One, 8:4 (avril 2013), e62537.
Rivest, L.-P., « Théorie et applications des modèles de capture-recapture », Bulletin AMQ, 53:2 (février 2013), 65–78.
Genest, C., Nikolilopoulos, A., Rivest, L.-P., Fortin, M., « Predicting dependent binary outcomes through logistic regressions and meta-elliptical copulas », Brazilian Journal of Probability and Statistics, 27:3 (2013), 265–284.
Oualkacha, K., Rivest, L.-P., « On the estimation of an average rigid body motion », Biometrika, 99:3 (septembre 2012), 585–598.
Lavallée, P., Rivest, L.-P., « Capture-recapture sampling and indirect sampling », Journal of Official Statistics, 28:1 (mars 2012), 1–27.
Savard, N., Levallois, P., Rivest, L.-P., Gingras, S., « A study of the association between characteristics of CLSCs and the risk of small for gestational age births among term and preterm births in Quebec, Canada », The Canadian Journal of Public Health / La Revue canadienne de santé publique, 103:2 (2012), 152–157.

Other journal articles:

Murdoch, D. J., Stephens, D. A., Rivest, L.-P., « Comment faire accepter votre demande de subvention au CRSNG/ Questions and answers about the preparation of a successful NSERC application in Statistics », Liaison, 23:3 (août 2013), 57–61.

Alexandra M. Schmidt

Book chapters:

Lopes, H. F., Schmidt, A. M., « Dynamic models », in Handbook of Environmental and Ecological Statistics, A. E. Gelfand, M. Fuentes, J. A. Hoeting, R. L. Smith, éd., Chapman & Hall/CRC Handbooks of Modern Statistical Methods, Boca Raton, FL, CRC Press, 2018.

Peer-reviewed journal articles:

Bueno, R. S., Fonseca, T. C. O., Schmidt, A. M., « Modelling the kurtosis of spatio-temporal processes », Spatial Statistics, 22:1 (novembre 2017), 196–218.
Bueno, R. S., Fonseca, T. C. O., Schmidt, A. M., « Accounting for covariate information in the scale component of spatio-temporal mixing models », Spatial Statistics, 22:Part 1 (novembre 2017), 196–218.
Schmidt, A. M., Gonçalves, K. C. M., Velozo, P. L., « Spatiotemporal models for skewed processes », Environmetrics, 28:6 (septembre 2017), e2411, 15 p.
Schmidt, A. M., de Moraes, C. P., Migon, H. S., « A hierarchical mixture beta dynamic model of school performance in the Brazilian Mathematical Olympiads for
public schools », Chilean Journal of Statistics, 8:1 (avril 2017), 3–24.
Koblents, E., Míguez, J., Rodríguez, M. A., Schmidt, A. M., « A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of $\alpha$-stable distributions », Computational Statistics & Data Analysis, 95 (mars 2016), 57–74.
Schmidt, A. M., Rodríguez, M. A., Capistrano, E., « Population counts along elliptical habitat contours: Hierarchical modeling using Poisson-lognormal mixtures with nonstationary spatial structure », The Annals of Applied Statistics, 9:3 (septembre 2015), 1372–1393.
Schmidt, A. M., Rodríguez, M. A., Capistrano, E. M., « Population counts along elliptical habitat contours: hierarchical modeling using Poisson-lognormal mixtures with nonstationary spatial structure », The Annals of Applied Statistics, 9:3 (septembre 2015), 1372–1393.
Neto, J. H. V., Schmidt, A. M., Guttorp, P., « Accounting for spatially varying directional effects in spatial covariance structures », Journal of the Royal Statistical Society. Series C. Applied Statistics, 63:1 (janvier 2014), 103–122.
Velozo, P. L., Alves, M. B., Schmidt, A. M., « Modelling categorized levels of rainfall », Brazilian Journal of Probability and Statistics, 28:2 (2014), 190–208.
Migon, H. S., Schmidt, A. M., Ravines, R. E. R., Pereira, J. B. M., « An efficient sampling scheme for dynamic generalized models », Computational Statistics, 28:5 (octobre 2013), 2267–2293.
Dias, R., Garcia, N. L., Schmidt, A. M., « A hierarchical model for aggregated functional data », Technometrics, 55:3 (2013), 321–334.
Guttorp, P., Schmidt, A. M., « Covariance structure of spatial and spatio-temporal processes », WIREs Computational Statistics, 5:4 (2013), 279–287.
Lopes, H. F., Schmidt, A. M., Salazar, E., Gómez, M., Achkar, M., « Measuring the vulnerability of the Uruguayan population to vector-borne diseases via spatially hierarchical factor models », The Annals of Applied Statistics, 6:1 (mars 2012), 284–303.
Ruiz-Cárdenas, R., Ferreira, M. A. R., Schmidt, A. M., « Evolutionary Markov chain Monte Carlo algorithms for optimal monitoring network designs », Statistical Methodology, 9:1-2 (2012), 185–194.

Mireille Schnitzer

Book chapters:

Schnitzer, M., van der Laan, M., Moodie, E. E. M., Platt, R. W., « LTMLE with clustering », in Targeted Learning in Data Science, Springer Series in Statistics, Vol. 15, Cham, Springer, 2018.

Peer-reviewed journal articles:

Luque-Fernandez, M. A., Schomaker, M., Rachet, B., Schnitzer, M., « Targeted maximum likelihood estimation for a binary treatment: A tutorial », Statistics in Medicine, 37:16 (juillet 2018), 2530–2546.
Schnitzer, M., Cefalu, M., « Collaborative targeted learning using regression shrinkage », Statistics in Medicine, 37:4 (février 2018), 530–543.
Pang, M., Schuster, T., Filion, K. B., Schnitzer, M., Eberg, M., Platt, R. W., « Effect estimation in point-exposure studies with binary outcomes and high-dimensional covariate data–A comparison of targeted maximum likelihood estimation and inverse probability of treatment weighting », The International Journal of Biostatistics, 12:2 (novembre 2016), 20150034.
Pang, M., Schuster, T., Filion, K. B., Schnitzer, M., Eberg, M., Platt, R. W., « Effect estimation in point-exposure studies with binary outcomes and high-dimensional covariate data—A comparison of targeted maximum likelihood estimation and inverse probability of treatment weighting », The International Journal of Biostatistics, 12:2 (novembre 2016), 20150034, 13 p.
Pang, M., Schuster, T., Filion, K. B., Schnitzer, M., Eberg, M., Platt, R. W., « Effect estimation in point-exposure studies with binary outcomes and high-dimensional covariate data—a comparison of targeted maximum likelihood estimation and inverse probability of treatment weighting », The International Journal of Biostatistics, 12:2 (novembre 2016), 20150034, 13 p.
Naimi, A. I., Schnitzer, M., Moodie, E. E. M., Bodnar, L. M., « Mediation analysis for health disparities research », American Journal of Epidemiology, 184:4 (août 2016), 315–324.
Schnitzer, M., Lok, J. J., Gruber, S., « Variable selection for confounder control, flexible modeling and collaborative targeted minimum loss-based estimation in causal inference », The International Journal of Biostatistics, 12:1 (mai 2016), 97–115.
Schnitzer, M., Lok, J. J., Bosch, R. J., « Double robust and efficient estimation of a prognostic model for events in the presence of dependent censoring », Biostatistics, 17:1 (janvier 2016), 165–177.
Schnitzer, M., Moodie, E. E. M., van der Laan, M., Platt, R. W., Klein, M. B., « Modeling the impact of hepatitis C viral clearance on end-stage liver disease in an HIV co-infected cohort with targeted maximum likelihood estimation », Biometrics, 70:1 (mars 2014), 144-152.
Schnitzer, M., van der Laan, M., Moodie, E. E. M., Platt, R. W., « Effect of breastfeeding on gastrointestinal infection in infants: a targeted maximum likelihood approach for clustered longitudinal data », The Annals of Applied Statistics, 8:2 (2014), 703–725.
Schnitzer, M., Moodie, E. E. M., Platt, R. W., « Targeted maximum likelihood estimation for marginal time-dependent treatment effects under density misspecification », Biostatistics, 14:1 (janvier 2013), 1–14.

Juliana Schulz

Peer-reviewed journal articles:

Genest, C., Mesfioui, M., Schulz, J., « A new bivariate Poisson common shock model covering all possible degrees of dependence », Statistics & Probability Letters, 140 (septembre 2018), 202–209.
Garrido, J., Genest, C., Schulz, J., « Generalized linear models for dependent frequency and severity of insurance claims », Insurance: Mathematics & Economics, 70 (septembre 2016), 205–215.
Wang, Y., Murphy, O. A., Turgeon, M., Wang, Z., Bhatnagar, S. R., Schulz, J., Moodie, E. E. M., « The perils of quasi-likelihood information criteria », Stat, 4 (2015), 246–254.

Arusharka Sen

Peer-reviewed journal articles:

Das, K., Elmasri, M., Sen, A., « A skew-normal copula-driven GLMM », Statistica Neerlandica, 70:4 (novembre 2016), 396–413.
Sen, A., Stute, W., « Identification of survival functions through hazard functions in the Clayton-family », Statistics & Probability Letters, 87 (avril 2014), 94–97.
Jung, S., Sen, A., Marron, J. S., « Boundary behavior in high dimension, low sample size asymptotics of PCA », Journal of Multivariate Analysis, 109 (août 2012), 190–203.
Chaubey, Y. P., Li, J., Sen, A., Sen, P. K., « A new smooth density estimator for non-negative random variables », Journal of the Indian Statistical Association, 50:1-2 (2012), 83–104.

Russell Steele

Peer-reviewed journal articles:

Rashid, S., Mitra, R., Steele, R., « Using mixtures of $t$ densities to make inferences in the presence of missing data with a small number of multiply imputed data sets », Computational Statistics & Data Analysis, 92 (octobre 2015), 84–96.
Du, Y., Khalili, A., Nešlehová, J., Steele, R., « Simultaneous fixed and random effects selection in finite mixture of linear mixed-effects models », The Canadian Journal of Statistics / La revue canadienne de statistique, 41:4 (décembre 2013), 596–616.
Shrier, I., Kaufman, J. S., Platt, R. W., Steele, R., « Principal stratification: A broader vision », The International Journal of Biostatistics, 9:2 (octobre 2013), 307–313.
Gyger, G., Hudson, M., Lo, E., Steele, R., Baron, M., « Does cigarette smoking mitigate the severity of skin disease in systemic sclerosis? », Rheumatology International, 33:4 (avril 2013), 943–948.
Arthurs, E., Steele, R., Hudson, M., Baron, M., Thombs, B. D., « Are Scores on English and French Versions of the PHQ-9 Comparable? An Assessment of Differential Item Functioning », PLoS One, 7:12 (décembre 2012), e52028, 7 p.
Hudson, M., Steele, R., Baron, M., « Immunosuppression for interstitial lung disease in systemic sclerosis – novel insights and opportunities for translational research », Journal of Cell Communication and Signaling, 6:4 (décembre 2012), 187–190.
Harel, D., Thombs, B. D., Hudson, M., Baron, M., Steele, R., « Measuring fatigue in SSc: a comparison of the Short Form-36 Vitality subscale and Functional Assessment of Chronic Illness Therapy–Fatigue scale », Rheumatology, 51:12 (décembre 2012), 2177–2185.
Feeley, N., Zelkowitz, P., Shrier, I., Stremler, R., Westreich, R., Dunkley, D., Steele, R., Rosberger, Z., Lefebvre, F., Papageorgiou, A., « Follow-up of the cues and care trial: Mother and infant outcomes at 6 months », Journal of Early Intervention, 34:2 (juin 2012), 65–81.
Hudson, M., Mahler, M., Pope, J., You, D., Tatibouet, S., Steele, R., Baron, M., Fritzler, M., « Clinical correlates of CENP-A and CENP-B antibodies in a large cohort of patients with systemic sclerosis », The Journal of Rheumatology, 39:4 (avril 2012), 787–794.
Steele, R., Hudson, M., Lo, E., Baron, M., « Clinical decision rule to predict the presence of interstitial lung disease in systemic sclerosis », Arthritis Care & Research, 64:4 (avril 2012), 519–524.
Campbell, D., Steele, R., « Smooth functional tempering for nonlinear differential equation models », Statistics and Computing, 22:2 (mars 2012), 429–443.
Tessler, M. J., Shrier, I., Steele, R., « Association between anesthesiologist age and litigation », Anesthesiology, 116 (2012), 574–579.

David A. Stephens

Monographs and books:

Damien, P., Dellaportas, P., Polson, N. G., Stephens, D. A. (EDT), Bayesian Theory and Apllications, Oxford University Press, 2013.

Book chapters:

Moodie, E. E. M., Stephens, D. A., « Dynamic treatment regimes », in Wiley StatsRef: Statistics Reference Online, N. Balakrishnan, T. Colton, B. Everitt, W. Piegorsch, F. Ruggeri, J. L. Teugels, éd., American Cancer Society, 2018.
Moodie, E. E. M., Stephens, D. A., Wallace, M., « G-estimation », in Wiley StatsRef: Statistics Reference Online, N. Balakrishnan, T. Colton, B. Everitt, W. Piegorsch, F. Ruggeri, J. L. Teugels, éd., American Cancer Society, 2018.
Khalili, A., Chen, J., Stephens, D. A., « Regularization in regime-switching Gaussian autoregressive models », in Advanced Statistical Methods in Data Science, D.-G. Chen, J. Chen, X. Lu, G. Yi, H. Yu, éd., ICSA Book Series in Statistics, Singapore, Springer, 2016.
Stephens, D. A., « G-estimation for dynamic treatment regimes in the longitudinal setting », in Adaptive Treatment Strategies in Practice, M. R. Kosorok, E. E. M. Moodie, éd., ASA-SIAM Series on Statistics and Applied Mathematics, Philadelphia, PA, SIAM, 2016.
Griffin, J. E., Stephens, D. A., « Advances in Markov chain Monrte Carlo », in Bayesian Theory and Applications, P. Damien, P. Dellaportas, N. G. Polson, D. A. Stephens, éd., Oxford, Oxford Univ. Press, 2013.
Stephens, D. A., « Complexity in systems level biology and genetics: statistical perspectives », in Computational Complexity. Vols. 1–6, R. A. Meyers, éd., New York, Springer, 2012.

Peer-reviewed journal articles:

Ertefaie, A., Asgharian, M., Stephens, D. A., « Variable selection in causal inference using a simultaneous penalization method », Journal of Causal Inference, 6:1 (mars 2018), 20170010.
Khalili, A., Chen, J., Stephens, D. A., « Regularization and selection in Gaussian mixture of autoregressive models », The Canadian Journal of Statistics / La revue canadienne de statistique, 45:4 (décembre 2017), 356–374.
Moodie, E. E. M., Stephens, D. A., « Treatment prediction, balance, and propensity score adjustment », Epidemiology, 28:5 (septembre 2017), e51–e53.
Wallace, M., Moodie, E. E. M., Stephens, D. A., « Model validation and selection for personalized medicine using dynamic-weighted ordinary least squares », Statistical Methods in Medical Research, 26:4 (août 2017), 1641–1653.
Wallace, M., Moodie, E. E. M., Stephens, D. A., « Dynamic treatment regimen estimation via regression-based techniques: Introducing R package DTRreg », Journal of Statistical Software, 80:2 (août 2017), 1–20.
Wallace, M., Moodie, E. E. M., Stephens, D. A., « An R package for G-estimation of structural nested mean models », Epidemiology, 28:2 (mars 2017), e18–e20.
Saarela, O., Belzile, L. R., Stephens, D. A., « A Bayesian view of doubly robust causal inference », Biometrika, 103:3 (septembre 2016), 667–681.
Wallace, M., Moodie, E. E. M., Stephens, D. A., « Model assessment in dynamic treatment regimen estimation via double robustness », Biometrics, 72:3 (septembre 2016), 855–864.
Wallace, M., Moodie, E. E. M., Stephens, D. A., « SMART thinking: a review of recent developments in sequential multiple assignment randomized trials », Current Epidemiology Reports, 3:3 (septembre 2016), 225–232.
Rich, B., Moodie, E. E. M., Stephens, D. A., « Influence re-weighted g-estimation », The International Journal of Biostatistics, 12:1 (mai 2016), 157–177.
Rich, B., Moodie, E. E. M., Stephens, D. A., « Optimal individualized dosing strategies: A pharmacologic approach to developing dynamic treatment regimens for continuous-valued treatments », Biometrical Journal, 58:3 (mai 2016), 502–517.
Graham, D. J., McCoy, E. J., Stephens, D. A., « Approximate Bayesian inference for double robust estimation », Bayesian Analysis, 11:1 (mars 2016), 47–69.
Wallace, M., Moodie, E. E. M., Stephens, D. A., « Comment: “Personalized dose finding using outcome weighted learning” », Journal of the American Statistical Association, 111:516 (2016), 1530–1534.
Saarela, O., Arjas, E., Stephens, D. A., Moodie, E. E. M., « Predictive Bayesian inference and dynamic treatment regimes », Biometrical Journal, 57:6 (novembre 2015), 941–958.
Saarela, O., Stephens, D. A., Moodie, E. E. M., Klein, M. B., « On Bayesian estimation of marginal structural models », Biometrics, 71:2 (juin 2015), 279–288.
Saarela, O., Stephens, D. A., Moodie, E. E. M., Klein, M. B., « Rejoinder: “On Bayesian estimation of marginal structural models” », Biometrics, 71:2 (juin 2015), 299–301.
Ertefaie, A., Asgharian, M., Stephens, D. A., « Double bias: Estimation of causal effects from length-biased samples in the presence of confounding », The International Journal of Biostatistics, 11:1 (mai 2015), 69–89.
Holmes, C. C., Stephens, D. A., Caron, F., Griffin, J. E., « Two-sample Bayesian nonparametric hypothesis testing », Bayesian Analysis, 10:2 (2015), 297–320.
Graham, D. J., McCoy, E. J., Stephens, D. A., « Quantifying causal effects of road network capacity expansions on traffic volume and density via a mixed model propensity score estimator », Journal of the American Statistical Association, 109:508 (décembre 2014), 1440–1449.
Hanley, J. A., Saarela, O., Stephens, D. A., Thalabard, J.-C., « hGH isoform differential immunoassays applied to blodd samples from athletes: Decision limits for anti-doping testing », Growth Hormone & IGF Research, 24:5 (octobre 2014), 205–2015.
Rich, B., Moodie, E. E. M., Stephens, D. A., « Simulating sequential multiple assignment randomized trials to generate optimal personalized warfarin dosing strategies », Clinical Trials, 11:4 (août 2014), 435–444.
Moodie, E. E. M., Stephens, D. A., Klein, M. B., « A marginal structural model for multiple-outcome survival data: assessing the impact of injection drug use on several causes of death in the Canadian co-infection cohort », Statistics in Medicine, 33:8 (avril 2014), 1409–1425.
Ertefaie, A., Asgharian, M., Stephens, D. A., « Propensity score estimation in the presence of length-biased sampling: A nonparametric adjustement approach », Statistics in Medicine, 3:1 (mars 2014), 83–94.
Graham, D. J., McCoy, E. J., Stephens, D. A., « Quantifying causal effects of road network capacity expansions on traffic flow and density via a mixed model propensity score estimator », Journal of the American Statistical Association, 109:508 (2014), 1440–1449.
Ertefaie, A., Asgharian, M., Stephens, D. A., « The propensity score estimation in the presence of lenght-biased sampling: A nonparametric adjustment approach », Stat, 3:1 (2014), 83–94.
Graham, D. J., McCOy, E. J., Stephens, D. A., « Quantifying the effect of area deprivation on child pedestrian casualities by using longitudinal models to adjust for confounding, interference and spatial dependence », Journal of the Royal Statistical Society: Series A (Statistics in Society), 176:4 (octobre 2013), 931–950.
Graham, D. J., McCoy, E. J., Stephens, D. A., « Quantifying the effect of area deprivation on child pedestrian casualties by using longitudinal mixed models to adjust for confounding, interference and spatial dependence », Journal of the Royal Statistical Society. Series A. Statistics in Society, 176:4 (octobre 2013), 931–950.
Vincent, C., Stephens, D. A., Loo, V. G., Edens, T. J., Behr, M. A., Dewar, K., Manges, A. R., « Reductions in intestinal Clostridiales precede the development of nosocomial Clostridium difficile infection », Microbiome, 1 (juin 2013), 18, 11 p.
Astle, W., De Iorio, M., Richardson, S., Stephens, D. A., Ebbels, T., « A Bayesian model of NMR spectra for the deconvolution and quantification of metabolites in complex biological mixtures », Journal of the American Statistical Association, 107:500 (décembre 2012), 1259–1271.
Weston, D. J., Adams, N. M., Russell, R. A., Stephens, D. A., Freemont, P. S., « Analysis of spatial point patterns in nuclear biology », PLoS One, 7:5 (mai 2012), e36841.
Moodie, E. E. M., Stephens, D. A., « Estimation of dose-response functions for longitudinal data using the generalised propensity score », Statistical Methods in Medical Research, 21:2 (avril 2012), 149–166.

Other journal articles:

Murdoch, D. J., Stephens, D. A., Rivest, L.-P., « Comment faire accepter votre demande de subvention au CRSNG/ Questions and answers about the preparation of a successful NSERC application in Statistics », Liaison, 23:3 (août 2013), 57–61.
Genest, C., Stephens, D. A., « Changbao Wu: Winner of the 2012 CRM-SSC prize/Lauréat du prix CRM-SSC 2012 », SSC Liaison, 26:2 (mai 2012), 32–33.

Peer-reviewed conference proceedings:

Powers, L., Nešlehová, J., Stephens, D. A., « Pricing American options in an infinite activity Lévy market: Monte Carlo and deterministic approaches using a diffusion approximation », in Numerical Methods in Finance, Numerical Methods in Finance (Bordeaux, 2010), R. A. Carmona, P. Del Moral, P. Hu, N. Oudjane, éd., Springer Proceedings in Mathematics, Vol. 12, Berlin, Springer, 2012, 291–321.

Denis Talbot

Peer-reviewed journal articles:

Talbot, D., Rossi, A. M., Bacon, S., Atherton, J., Lefebvre, G., « A graphical perspective of marginal structural models: An application for the estimation of the effect of physical activity on blood pressure », Statistical Methods in Medical Research, 27:8 (2018), 2428–2436.
Vanasse, A., Talbot, D., Chebana, F., Bélanger, D., Blais, C., Gamache, P., Giroux, J.-X., Dault, R., Gosselin, P., « Effects of climate and fine particulate matter on hospitalizations and deaths for heart failure in elderly: A population-based cohort study », Environment International, 106 (septembre 2017), 257–266.
Valois, P., Talbot, D., Caron, M., Carrier, M.-P., Morin, A. J. S., Renaud, J.-S., Jacob, J., Gosselin, P., « Development and validation of a behavioural index for adaptation to high summer temperatures among urban dwellers », International Journal of Enviromental Research and Public Health, 14:7 (juillet 2017), 820, 18 p.
Brassard, D., Tessier-Grenier, M., Allaire, J., Rajendiran, E., She, Y., Ramprasath, V., Gigleux, I., Talbot, D., Levy, E., Tremblay, A., Jones, P. J. H., Couture, P., Lamarche, B., « Comparison of the impact of SFAs from cheese and butter on cardiometabolic risk factors: a randomized controlled trial », The American Journal of Clinical Nutrition, 105:4 (avril 2017), 800–809.
Ndjaboué, R., Brisson, C., Talbot, D., Vézina, M., « Chronic exposure to adverse psychosocial work factors and high psychological distress among white-collar workers: A 5-year prospective study », Journal of Psychosomatic Research, 94 (mars 2017), 56–63.
Ndjaboué, R., Brisson, C., Talbot, D., Vézina, M., « Combined exposure to adverse psychosocial work factors on medically certified sickness absence for mental health problems: A 5-year prospective study », Journal of Psychosomatic Research, 92 (janvier 2017), 9–15.
Allaire, J., Couture, P., Leclerc, M., Charest, A., Marin, J., Lépine, M.-C., Talbot, D., Tchernof, A., Lamarche, B., « A randomized, crossover, head-to-head comparison of eicosapentaenoic acid and docosahexaenoic acid supplementation to reduce inflammation markers in men and women: the Comparing EPA to DHA (ComparED) Study », The American Journal of Clinical Nutrition, 104:2 (août 2016), 280–287.
Talbot, D., Lefebvre, G., Atherton, J., « The Bayesian causal effect estimation algorithm », Journal of Causal Inference, 3:2 (septembre 2015), 207–236.
Talbot, D., Atherton, J., Lefebvre, G., Rossi, A. M., Bacon, S., « Authors’ reply to comments on “A cautionary note concerning the use of stabilized weights in marginal structural models” », Statistics in Medicine, 34:18 (août 2015), 2676–2677.
Renaud-Dubé, A., Guay, F., Talbot, D., Taylor, G., Koestner, R., « The relations between implicit intelligence beliefs, autonomous academic motivation, and school persistence intentions: a mediation model », Social Psychology of Education, 18:2 (juin 2015), 255–272.
Talbot, D., Atherton, J., Rossi, A. M., Bacon, S., Lefebvre, G., « A cautionary note concerning the use of stabilized weights in marginal structural models », Statistics in Medicine, 34:5 (février 2015), 812–823.
Lefebvre, G., Atherton, J., Talbot, D., « The effect of the prior distribution in the Bayesian adjustement for confounding algorithm », Computational Statistics & Data Analysis, 70 (février 2014), 227–240.

Audrey-Anne Vallée

Peer-reviewed journal articles:

Vallée, A.-A., Ferland-Raymond, B., Rivest, L.-P., Tillé, Y., « Incorporating spatial and operational constraints in the sampling designs for forest inventories », Environmetrics, 26:8 (décembre 2015), 557–570.

Research reports:

Vallée, A.-A., Haziza, D., « Variance estimation in the presence of imputed data for high entropy sampling designs », Université de Neuchâtel, 2014.

Archer (Yi) Yang

Book chapters:

Righi, M. B., Yang, Y., Ceretta, P. S., « Nonparametric expectile regression for conditional autoregressive expected shortfall estimation », in Risk Management Post Financial Crisis: A Period of Monetary Easing, J. A. Batten, N. F. Wagner, éd., Contemporary Studies in Economic and Financial Analysis, Vol. 96, Bingley, Emerald Group Publishing Limited, 2014.

Peer-reviewed journal articles:

Yang, Y., Qian, W., Zou, H., « Insurance premium prediction via gradient tree-boosted tweedie compound Poisson models », Journal of Business & Economic Statistics (XXXX), accepté.
Yang, Y., Zhang, T., Zou, H., « Flexible expectile regression in reproducing kernel Hilbert space », Technometrics, 60:1 (2018), 26–35.
Su, Z., Zhu, G., Chen, X., Yang, Y., « Sparse envelope model: efficient estimation and response variable selection in multivariate linear regression », Biometrika, 103:3 (septembre 2016), 579–593.
Yang, Y., Zou, H., Qian, W., « Tweedie’s compound Poisson model With grouped elastic net », Journal of Computational and Graphical Statistics, 25:2 (juin 2016), 606–625.
Qian, W., Yang, Y., Zou, H., « Tweedie’s compound Poisson model with grouped elastic net », Journal of Computational and Graphical Statistics, 25:2 (mai 2016), 606–625.
Yang, Y., Zou, H., « A fast unified algorithm for solving group-lasso penalize learning problems », Statistics and Computing, 25:6 (novembre 2015), 1129–1141.
Yang, Y., Zou, H., « Nonparametric multiple expectile regression via ER-Boost », Journal of Statistical Computation and Simulation, 85:7 (2015), 1442–1458.
Cook, D., Su, Z., Yang, Y., « envlp: A MATLAB toolbox for computing envelope estimators in multivariate analysis », Journal of Statistical Software, 62 (décembre 2014), 8, 20 p.
Yang, Y., Zou, H., « A coordinate majorization descent algorithm for $\ell_1$ penalized learning », Journal of Statistical Computation and Simulation, 84:1 (2014), 84–95.
Yang, Y., Zou, H., « A cocktail algorithm for solving the elastic net penalized Cox’s regression in high dimensions », Statistics and Its Interface, 6:2 (2013), 167–173.
Yang, Y., Zou, H., « An efficient algorithm for computing the HHSVM and its generalizations », Journal of Computational and Graphical Statistics, 22:2 (2013), 396–415.
Wang, S., Yang, Y., Chang, J.-S., Lin, F.-P., « Using penalized regression with parallel coordinates for visualization of significance in high dimensional data », International Journal of Advanced Computer Science and Applications, 4:10 (2013), 32–38.

Research reports:

Mai, Q., Yang, Y., Zou, H., « Multiclass sparse discriminant analysis », arXiv:1504.05845, avril 2015.

Fréderic Ouimet

Peer-reviewed journal articles:

Arguin, L.-P., Ouimet, F., « Extremes of the two-dimensional Gaussian free field with scale-dependent variance », ALEA. Latin American Journal of Probability and Mathematical Statistics, 13:2 (2016), 779–808.