Recent publications (since 2007)

• Belkacem Abdous (Université Laval)
• Jean-François Angers (Université de Montréal)
• Masoud Asgharian (McGill University)
• Juli Atherton (McGill University)
• Yoshua Bengio (Université de Montréal)
• Martin Bilodeau (Université de Montréal)
• Yogendra P. Chaubey (Concordia University)
• Pierre Duchesne (Université de Montréal)
• Thierry Duchesne (Université Laval)
• Debbie J. Dupuis (HEC Montréal)
• Anne-Catherine Favre (Université Laval)
• Sorana Froda (Université du Québec à Montréal)
• José Garrido (Concordia University)
• Christian Genest (McGill University)
• Nadia Ghazzali (Université Laval)
• Simon Guillotte (Université du Québec à Montréal)
• Aurélie Labbe (McGill University)
• Pierre Lafaye de Micheaux (Université de Montréal)
• Lajmi Lakhal-Chaieb (Université Laval)
• Fabrice Larribe (Université du Québec à Montréal)
• Geneviève Lefebvre (Université du Québec à Montréal)
• Christian Léger (Université de Montréal)
• Brenda MacGibbon (Université du Québec à Montréal)
• Éric Marchand (Université de Sherbrooke)
• Erica E. M. Moodie (McGill University)
• Manuel Morales (Université de Montréal)
• Alejandro Murua (Université de Montréal)
• Johanna Nešlehová (McGill University)
• François Perron (Université de Montréal)
• Robert W. Platt (McGill University)
• Lea Popovic (Concordia University)
• James O. Ramsay (McGill University)
• Bruno Rémillard (HEC Montréal)
• Jean-François Renaud (Université du Québec à Montréal)
• Louis-Paul Rivest (Université Laval)
• Arusharka Sen (Concordia University)
• Russell Steele (McGill University)
• David A. Stephens (McGill University)
• David B. Wolfson (McGill University)

Belkacem Abdous

• Lakhal-Chaieb, L., Rivest, L.-P., Abdous, B., « Estimating survival and association in a semicompeting risk model », Biometrics, 64:1 (2008), 180–188.
  
• Lakhal Chaieb, L., Rivest, L.-P., Abdous, B., « Estimating survival and association in a semicompeting risks model », Biometrics, 64:1 (March 2008), 180–188.
  

Jean-François Angers

• Angers, J.-F., Laberge-Nadeau, C., Bellavance, F., Courchesne, S., Poirier, L.-F., Allaire, V. C., « Prior model for reconstruction of contingency table », in Bayesian Statistics and Its Applications, S. K. Upadhyay, U. Singh, D. K. Dey, eds., New Delhi, Anamaya Publ., 2007.
  
• Angers, J.-F., MacGibbon, B., « Bayesian estimation of the hazard function with randomly right censored data », in Statistical Advances in the Biomedical Sciences: Clinical Trials, Epidemiology, Survival Analysis and Bioinformatics, A. Biswas, S. Datta, J. P. Fine, M. R. Segal, eds., Wiley, 2008.
  

• Desgagné, A., Angers, J.-F., « Conflicting information and location parameter inference », Metron, 65:1 (2007), 67–97.
  
• Destrempes, F., Mignotte, M., Angers, J.-F., « Localization of shapes using statistical models and stochastic optimization », IEEE Transactions on Pattern Analysis and Machine Intelligence, 29:9 (September 2007), 1603–1615.
  
• Merleau, J., Perreault, L., Angers, J.-F., Favre, A.-C., « Bayesian modeling of hydrographs », Water Resources Research, 43 (October 2007), W10432, 15 pages.
  
• Angers, J.-F., Biswas, A., « Bivariate versus univariate ordinal categorical data with reference to an ophtalmologic study », Journal of Statistical Computation and Simulation, 78:6 (June 2008), 489–502.
  
• Angers, J.-F., Biswas, A., Hwang, J.-S., « Bayesian nonlinear regression for the air pollution effects on daily clinic visits in small areas of Taiwan », Communications in Statistics. Simulation and Computation, 38:7 (2009), 1534–1549.
  
• Berteaux, D., de Blois, S., Angers, J.-F., Bonin, J., Casajus, N., Darveau, M., Fournier, F., Humphries, M. M., McGill, B., Larivée, J., Logan, T., Nantel, P., Périé, C., Poisson, F., Rodrigue, D., Rouleau, S., Siron, R., Thuiller, W., Vescovi, L., « The CC-Bio project: Studying the effects of climate change on Quebec biodiversity », Diversity 2:11 (November 2010), 1181–1204.
  

• Angers, J.-F., Delampady, M., « Fuzzy sets in nonparametric Bayes regression », in Pushing the Limits of Contemporary Statistics: Contributions in Honor of Jayanta K. Ghosh, B. Clarke, S. Goshal, ed., IMS Collections, Beachwood, OH, Inst. Math. Stat., 2008, 89–104.
  

• Merleau, J., Angers, J.-F., Perreault, L., Favre, A.-C., « Modelling the average behaviour of a sample of curves with Bayesian regression splines », Centre de recherches mathématiques, CRM-3271, December 2008, 40 p.
  
• Labrecque-Synnott, F., Angers, J.-F., « Bayesian estimation and testing for continuous zero-modified models », Centre de recherches mathématiques, CRM-3304, March 2010, 10 p.
  
• Labrecque-Synnott, F., Angers, J.-F., « Bayesian model-based clustering of continuous zero-modified data », Centre de recherches mathématiques, CRM-3305, June 2010, 10 p.
  
• Akpoué, B. P., Angers, J.-F., « Modélisation bayésienne des niches écologiques », Centre de recherches mathématiques, CRM-3316, September 2011, 42 p.
  

Masoud Asgharian

• Bergeron, P.-J., Asgharian, M., Wolfson, D. B., « Covariate bias induced by length-biased sampling of failure times », Journal of the American Statistical Association, 103:482 (June 2008), 737–742.
  
• Khodabakhshi, M., Asgharian, M., «  An input relaxation measure of efficiency in stochastic data envelopment analysis », Applied Mathematical Modelling, 33:4 (April 2009), 2010–2023.
  
• Addona, V., Asgharian, M., Wolfson, D. B., « On the incidence-prevalence relation and length-biased sampling », The Canadian Journal of Statistics / La revue canadienne de statistique 37:2 (June 2009), 206–218.
  

• Cosma, I. A., Asgharian, M., « Principle of detailed balance and convergence assessment of Markov Chain Monte Carlo methods and simulated annealing », arXiv:0807.3151, July 2008.
  

Juli Atherton

• Atherton, J., Charbonneau, B., Wolfson, D. B., Joseph, L., Zhou, X., Vandal, A. C., « Bayesian optimal design for changepoint problems », The Canadian Journal of Statistics / La revue canadienne de statistique, 37:4 (December 2009), 495–513.
  

Yoshua Bengio

• Bengio, Y., Learning Deep Architectures for AI, Hanover, MA, Now Publishers Inc., 2009.
  

• Bengio, Y., « On the challenge of learning complex functions », in Computational Neuroscience: Theoretical Insights into Brain Function, P. Cisek, T. Drew, J. Kalaska, eds., Progress in Brain Research, Elsevier, 2007.
  
• Bengio, Y., LeCun, Y., « Scaling learning algorithms toward AI », in Large-Scale Kernel Machines, L. Bottou, O. Chapelle, D. DeCoste, J. Weston, eds., MIT Press, 2007.
  

• Chapados, N., Bengio, Y., « Noisy $k$ best-paths for approximate dynamic programming with application to portfolio optimization », Journal of Computers, 2:1 (February 2007), 12–19.
  
• Bengio, Y., « Neural net language models », Scholarpedia, 3:1 (2008), 3881.
  
• Bengio, Y., Senécal, J.-S., « Adaptive importance sampling to accelerate training of a neural probabilistic language model », IEEE Transactions on Neural Networks, 19:4 (April 2008), 713–722.
  
• Le Roux, N., Bengio, Y., « Representational power of restricted Boltzmann machines and deep belief networks », Neural Computation, 20:6 (June 2008), 1631–1649.
  
• Bengio, Y., « Learning deep architectures for AI », Foundations and Trends® in Machine Learning, 2:1 (2009), 1–127.
  
• Larochelle, H., Bengio, Y., Louradour, J., Lamblin, P., « Exploring strategies for training deep neural networks », Journal of Machine Learning Research, 10 (January 2009), 1–40.
  
• Carreau, J., Bengio, Y., « A hybrid Pareto model for asymmetric fat-tailed data: the univariate case », Extremes, 12:1 (March 2009), 53–76.
  
• Dugas, C., Bengio, Y., Garcia R., Bélisle, F., Nadeau, C., « Incorporating functional knowledge in neural networks », Journal of Machine Learning Research, 10 (June 2009), 1239–1262.
  
• Bengio, Y., Delalleau, O., « Justifying and generalizing contrastive divergence », Neural Computation, 21:6 (June 2009), 1601–1621.
  
• Carreau, J., Bengio, Y., « A hybrid Pareto mixture for conditional asymmetric fat-tailed distributions », IEEE Transactions on Neural Networks, 20:7 (July 2009), 1087–1101.
  
• Erhan, D., Bengio, Y., Courville, A., Manzagol, P.-A., Vincent, P., Bengio, S., « Why does unsupervised pre-training help deep learning? », Journal of Machine Learning Research, 11 (February 2010), 625–660.
  
• Rivest, F., Kalaska, J., Bengio, Y., « Alternative time representation in dopamine models », Journal of Computational Neuroscience, 28:1 (February 2010), 107–130.
  
• Le Roux, N., Bengio, Y., « Deep belief networks are compact universal approximators », Neural Computation, 22:8 (August 2010), 2192–2207.
  
• Larochelle, H., Bengio, Y., Turian, J., « Tractable multivariate binary density estimation and the restricted Boltzmann forest », Neural Computation, 22:9 (September 2010), 2285–2307.
  
• Bengio, Y., Delalleau, O., Simard, C., « Decision trees do not generalize to new variations », Computational Intelligence, 26:4 (November 2010), 449–467.
  
• Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y., Manzagol, P.-A., « Stacked denoising autoencoders: Learning useful representations in adeep network with a local denoising criterion », Journal of Machine Learning Research, 11 (December 2010), 3371–3408.
  
• Bergstra, J., Bengio, Y., Louradour, J., « Suitability of V1 energy models for object classification », Neural Computation, 23:3 (March 2011), 774–790.
  
• Breuleux, O., Bengio, Y., Vincent, P., « Quickly generating representative samples from an RBM-derived process », Neural Computation, 23:8 (August 2011), 2058–2073.
  
• 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 (XXXX), accepted.
  

• Bengio, Y., LeCun, Y., « Scaling learning algorithms toward AI », in Large-Scale Kernel Machines, NIPS 2005 Workshop: Large-Scale Kernel Machines (Whistler, BC, 2005), L. Bottou, O. Lachapelle, D. DeCoste, J. Weston, eds., Neural Information Processing Series, Cambridge, MA, MIT Press, 2007, 321–360.
  
• Larochelle, H., Erhan, D., Courville, A., Bergstra, J., Bengio, Y., « An empirical evaluation of deep architectures on problems with many factors of variation », in Proceedings of the 24th International Conference on Machine Learning, 24th International Conference on Machine Learning — ICML 2007 (Corvallis, OR, 2007), Z. Ghahramani, eds., Corvallis, OR, Omnipress, 2007, 473–480.
  
• Bengio, Y., Lamblin, P., Popovici, D., Larochelle, H., « Greedy layer-wise training of deep networks », 2006 Neural Information Processing Systems Conference (Vancouver, 2006), B. Schölkopf, J. Platt, T. Hofmann, eds., Advances in Neural Information Processing Systems, Cambridge, MA, MIT Press, 2007.
  
• Carreau, J., Bengio, Y., « A hybrid Pareto model for conditional density estimation of asymmetric fat-tail data », in Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, March 21-24, 2007, San Juan, Puerto Rico, Eleventh International Conference on Artificial Intelligence and Statistics (San Juan, Puerto Rico, 2007), M. Mella, X. Shen, ed., Corvallis, OR, Omnipress, 2007, 8 pages.
  
• Le Roux, N., Bengio, Y., « Continuous neural networks », in Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, March 21-24, 2007, San Juan, Puerto Rico, Eleventh International Conference on Artificial Intelligence and Statistics (San Juan, Puerto Rico, 2007), M. Mella, X. Shen, ed., Corvallis, OR, Omnipress, 2007, 8 pages.
  
• Vincent, P., Larochelle, H., Bengio, Y., Manzagol, P.-A., « Extracting and composing robust features with denoising autoencoders », in Proceedings of the 25th International Conference on Machine Learning, 25th International Conference on Machine Learnin — ICLM ‘08 (Helsinki, 2008), W. W. Cohen, A. McCallum, S. T. Roweis, eds., ACM International Conference Proceeding Series, New York, ACM, 2008, 1096–1103.
  
• Larochelle, H., Bengio, Y., « Classification using discriminative restricted Boltzmann machines
   », in Proceedings of the 25th International Conference on Machine Learning, 25th International Conference on Machine Learning — ICML 2008 (Helsinki, 2008), W. W. Cohen, A. McCallum, S. T. Roweis, eds., ACM International Conference Proceeding Series, New York, ACM, 2008, 536–543.
  
• Le Roux, N., Manzagol, P.-A., Bengio, Y., « Topmoumoute online natural gradient algorithm », Twenty-First Annual Conference on Neural Information Processing Systems (Vancouver, BC, 2007), J. C. Platt, D. Koller, Y. Singer, S. T. Roweis, eds., Advances in Neural Information Processing Systems, Cambridge, MA, MIT Press, 2008, 849–856.
  
• Le Roux, N., Bengio, Y., Lamblin, P., Joliveau, M., Kégl, B., « Learning the 2-D topology of images », Twenty-First Annual Conference on Neural Information Processing Systems — NIPS 2007 (Vancouver, BC, 2007), J.C. Platt, D. Koller, Y. Singer, S. T. Roweis, eds., Advances in Neural Information Processing Systems, Cambridge, MA, MIT Press, 2008, 841–848.
  
• Chapados, N., Bengio, Y., « Augmented functional time series representation and forecasting with Gaussian processes », Twenty-First Annual Conference on Neural Information Processing Systems — NIPS 2007 (Vancouver, BC, 2007), J.C. Platt, D. Koller, Y. Singer, S. T. Roweis, eds., Advances in Neural Information Processing Systems, Cambridge, MA, MIT Press, 2008, 265–272.
  
• Larochelle, H., Erhan, D., Bengio, Y., « Zero-data learning of new tasks », in Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence , Twenty-Third AAAI Conference on Artificial Intelligence — AAAI 2008 (Chicago, IL, 2008), D. Fox, C. P. Gomes, ed., Menlo Park, CA, AAAI Press, 2008, 646–651.
  
• Turian, J., Bergstra, J., Bengio, Y., « Quadratic features and deep architectures for chunking », in Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers, 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Boulder, CO, 2009), Stroudsburg USA, Association for Computational Linguistics 2009, 245–248.
  
• Bengio, Y., Louradour, J., Collobert, R., Weston, J., « Currinculum learning », in ICML 2009 Proceedings of the 26th International Conference on Machine Learning, 26th Annual International Conference on Machine Learning (Montréal, QC, 2009), L. Bottou, M. Littman, ed., New York, ACM, 2009, 41–48.
  
• Erhan, D., Manzagol, P.-A., Bengio, Y., Bengio, S., Vincent, P., « The difficulty of training deep architectures and the effect of unsupervised pre-training », in Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, Twelfth International Conference on Artificial Intelligence and Statistics — AISTATS 2009 (Clearwater Beach, FL, 2009), D. van Dyk, M. Welling, ed., JMLR Workshop and Conference Proceedings, Cambridge, MA, MIT Press, 2009, 153–160.
  
• Turian, J., Ratinov, L., Bengio, Y., « Word representations: A simple and general method for semi-supervised learning », in Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, 48th Annual Meeting of the Association for Computational Linguistics (Uppsala, 2010), Stroudsburg, PA, Association for Computational Linguistics, 2010, 384–394.
  
• Erhan, D., Courville, A., Bengio, Y., Vincent, P., « Why does unsupervised pre-training help deep learning? », in Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, Thirteenth International Conference on Artificial Intelligence and Statistics — AISTATS 2010 (Sardinia, 2010), Y. W. Teh, M. Titterington, ed., JMLR Workshop and Conference Proceedings, Cambridge, MA, MIT Press, 2010, 201–208.
  
• Glorot, X., Bengio, Y., « Understanding the difficulty of training deep feedforward neural networks », in Proceedings of AISTATS 2010, 13th International Conference on Artificial Intelligence and Statistics — AISTATS 2010, Y. W. Teh, M. Titterington, ed., JMLR Workshop and Conference Proceedings, Cambridge, MA, MIT Press, 2010, 249–256.
  
• Desjardins, G., Courville, A., Bengio, Y., Vincent, P., Delalleau, O., « Tempered Markov chain Monte Carlo for training of restricted Blotzmann machine », in Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, Thirteenth International Conference on Artificial Intelligence and Statistics — AISTATS 2010 (Saddinia, 2010), Y. W. Teh, M. Titterington, ed., JMLR Workshop and Conference Proceedings, Cambridge, MA, MIT Press, 2010, 145–152.
  
• Courville, A., Eck, D., Bengio, Y., « An infinite factor model hierarchy via a noisy-or mechanism », Twenty-Third Annual Conference on Neural Information Processing Systems — NIPS 2009 (Vancouver, BC, 2009), Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, A. Culotta, eds., Advances in Neural Information Processing Systems, Cambridge, MA, MIT Press, 2010, 405–413.
  
• Bergstra, J., Bengio, Y., « Slow, decorrelated features for pretraining complex cell-like net-works », Twenty-Third Annual Conference on Neural Information Processing Systems — NIPS 2009 (Vancouver, BC, 2009), Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, A. Culotta, eds., Advances in Neural Information Processing Systems, Cambridge, MA, MIT Press, 2010, 99–107.
  
• Courville, A., Bergstra, J., Bengio, Y., « A spike and slab restricted Boltzmann machine », in AISTATS 2011, Fourteenth International Conference on Artificial Intelligence and Statistics (Fort Lauderdale, FL, 2011), G. Gordon, D. Dunson, M. Dudik, eds., JMLR Workshop and Conference Proceedings, Cambridge, MA, MIT Press, 2011, 233–241.
  
• Bengio, Y., Glorot, X., Bordes, A., « Deep sparse rectifier neural networks », in AISTATS 2011, Fourteenth International Conference on Artificial Intelligence and Statistics (Fort Lauderdale, FL, 2011), G. Gordon, D. Dunson, M. Dudik, eds., JMLR Workshop and Conference Proceedings, Cambridge, MA, MIT Press, 2011, 315–323.
  
• Bengio, Y., Bastien, F., Bergeron, A., Boulanger-Lewandowski, N., Breuel, T., Chherawala, Y., Cisse, M., Côté, M., Erhan, D., Eustache, J., Glorot, X., Muller, X., Pannetier Lebeuf, S., Pascanu, R., Rifai, S., Savard, F., Sicard, G., « Deep learners benefit more from out-of-distribution examples », in AISTATS 2011, Fourteenth International Conference on Artificial Intelligence and Statistics (Fort Lauderdale, FL, 2011), G. Gordon, D. Dunson, M. Dudik, eds., JMLR Workshop and Conference Proceedings, Cambridge, MA, MIT Press, 2011, 164–172.
  
• Courville, A., Bergstra, J., Bengio, Y., « Unsupervised models of images by spike-and-slab RBMs », in Proceedings of the 28th International Conference on Machine Learning, 28th International Conference on Machine Learning — ICML 2011 (Bellevue, WA 2011), L. Getoor, T. Scheffer, ed., New York, ACM, 2011, 1145–1152.
  
• Bengio, Y., Glorot, X., Bordes, A., « Domain adaptation for large­scale sentiment classification: A deep learning approach », in Proceedings of the 28th International Conference on Machine Learning, 28th International Conference on Machine Learning — ICML 2011 (Bellevue, WA 2011), L. Getoor, T. Scheffer, ed., New York, ACM, 2011, 513–520.
  
• Rifai, S., Vincent, P., Muller, X., Glorot, X., Bengio, Y., « Contractive auto­encoders: Explicit invariance during feature extraction », in Proceedings of the 28th International Conference on Machine Learning, 28th International Conference on Machine Learning — ICML 2011 (Bellevue, WA 2011), L. Getoor, T. Scheffer, ed., New York, ACM, 2011, 833–840.
  
• Dauphin, Y., Glorot, X., Bengio, Y., « Large­scale learning of embeddings with reconstruction sampling », in Proceedings of the 28th International Conference on Machine Learning, 28th International Conference on Machine Learning — ICML 2011 (Bellevue, WA 2011), L. Getoor, T. Scheffer, ed., New York, ACM, 2011, 945–952.
  
• Bordes, A., Weston, J., Collobert, R., Bengio, Y., « Learning structured embeddings of knowledge bases », in Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence , Twenty-Fifth AAAI Conference on Artificial Intelligence — AAAI-11 (San Francisco, CA, 2011), Palo Alto, CA, AAAI Press, 2011, 301–306.
  
• 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., « Deep learning for unsupervised transfer », Workshop on Unsupervised and Transfer Learning (Bellevue, WA, 2011), I. Guyon, G. Dror, V. Lemaire, G. Taylor, D. Silver, eds., 2011.
  
• Bengio, Y., Delalleau, O., « On the expressive power of deep architectures », in Algorithmic Learning Theory, 22nd International Conference — ALT 2011 (Espoo, 2011), J. Kivinen, C. Szepesvari, E. Ukkonen, T. Zeugmann, eds., Lecture Notes in Computer Science, Berlin, Springer, 2011, 18–36.
  

Martin Bilodeau

• Beran, R., Bilodeau, M., Lafaye de Micheaux, P., « Nonparametric tests of independence between random vectors », Journal of Multivariate Analysis, 98:9 (October 2007), 1805–1824.
  

Yogendra P. Chaubey

• Chaubey, Y. P., Sen, A., Sen, P. K., « Smooth function estimation for censored data », in Encyclopedia of Statistics in Quality and Reliability, F. Ruggeri, R. S. Kennet, F. W. Faltin, eds., Chichester, Wiley, 2007.
  
• Chaubey, Y. P., Sen, A., « Smooth estimation of mean residual life under random censoring », in Beyond Parametrics in Interdisciplinary Research: Festschrift in Honor of Professor Pranab K. Sen, N. Balakrishnan, E. A. Peña, M. J. Silvapulle, eds., IMS Collections, Beachwood, OH, Inst. Math. Stat., 2008.
  
• Chaubey, Y. P., « Smooth estimation of multivariate distribution and density functions », in Advances in Multivariate Statistical Methods, A. SenGupta, eds., Statistical Science and Interdisciplinary Research, Singapour, World Sci. Publ., 2009.
  

• Chaubey, Y. P., Yang, M. J., « Inference for length and area biased exponential Weibull distribution », Journal of Statistical Studies, 26, Special issue in honour of Professor Saleh’s 75th birthday (2007), 19–27.
  
• Doosti, H., Chaubey, Y. P., Niroumand, H. A., « On a wavelet-based method of estimating a regression function », Communications in Statistics. Theory and Methods, 36:11 (2007), 2083–2098.
  
• Doosti, H., Chaubey, Y. P., « Wavelet linear density estimation for negatively dependent random variables », Current Development in Theory and Applications of Wavelets, 1:1 (April 2007), 57–64.
  
• Chaubey, Y. P., Xu, H., « Smooth estimation of survival functions under mean residual life ordering », Journal of Statistical Planning and Inference, 137:11 (November 2007), 3303–3316.
  
• Chaubey, Y. P., Sen, D., « Estimator of mean in an inverse Gaussian population based on the coefficient of variation », Journal of Statistical Research, 42:1 (2008), 1–16.
  
• Chaubey, Y. P., Sen, D., Mishra, S. N., « Inference on overlap for two inverse Gaussian populations: equal means case », Communications in Statistics. Theory and Methods, 37:12 (January 2008), 1880–1894.
  
• Chaubey, Y. P., Doosti, H., Prakasa Rao, B. L. S., « Wavelet based estimation of the derivatives of a density for a negatively associated process », Journal of Statistical Theory and Practice, 2:3 (September 2008), 453–463.
  
• Mudholkar, G. S., Chaubey, Y. P., Tian, L., « Extremes, extreme spacings and tail lengths: an investigation for some important distributions », Calcutta Statistical Association Bulletin 61:241-244 (2009), 243–265.
  
• Mondal, P. K., Chaubey, Y. P., « Estimation of distinct elements of a covariance matrix: MINQUE and MINQE », Statistics and Applications, 6 (2009), 157–170.
  
• Howlader, T., Chaubey, Y. P., « Wavelet-based noise reduction by joint statistical modeling of cDNA microarray images », Journal of Statistical Theory and Practice, 3:2 (June 2009), 349–370.
  
• Hachem, C., Fazio, P., Bartlett, K., Rao, J., Chaubey, Y. P., « Identification and transport investigation of microbial volatile organic compounds in full-scale stud cavities », Building and Environment, 44:8 (August 2009), 1691–1698.
  
• Chaubey, Y. P., Nebebe, F., Dzicielowski, K., Sen, D., « A semi-Bayesian apprpoach for estimation of joint distribution from marginal distributions », International Journal of Statistical Sciences, 9:Special Issue (September 2009), 273–284.
  
• Mudholkar, G. S., Chaubey, Y. P., « On defining P-values », Statistics & Probability Letters, 79:18 (September 2009), 1963–1971.
  
• Chaubey, Y. P., Sen, P. K., « On the selection of the smoothing parameter in Poisson smoothing of histogram estimator: computational aspects », Pakistan Journal of Statistics, 25:4 (October 2009), 385–401.
  
• Doosti, H., Islam, M. S., Chaubey, Y. P., Góra, P., « Two-dimensional wavelets for nonlinear autoregressive models with an application in dynamical system », Italian Journal of Pure and Applied Mathematics, 27 (2010), 39–62.
  
• Howlader, T., Chaubey, Y. P., « Noise reduction of cDNA microarray images using complex wavelets », IEEE Transactions on Image Processing, 19:8 (2010), 1953–1967.
  
• Chaubey, Y. P., Sen, P. K., Li, J., « Smooth density estimation for length-biased data », Journal of the Indian Society of Agricultural Statistics, 64:2 (2010), 145–155.
  
• Singh, M., Chaubey, Y. P., Sarker, A., Sen, D., « Modeling unstructured heterogeneity along with spatially correlated errors in field trials », Journal of the Indian Society of Agricultural Statistics, 64:2 (2010), 313–321.
  
• Chaubey, Y. P., Dewan, I., « Smooth estimation of survival and density functions for stationary associated sequences: Some recent developments », Journal of the Indian Society of Agricultural Statistics, 64:2 (2010), 261–272.
  
• Singh, M., Chaubey, Y. P., Niane, A. A., « Evaluating uniformity of plant varieties: Sample size for inference on coefficient of variation  », Journal of Statistics and Applications, 5:1 (2010), 1–13.
  
• Chaubey, Y. P., Doosti, H., Prakasa Rao, B. L. S., Shirazi, E., « Linear wavelet-based estimation for derivative of a density under random censorship », Journal of Iranian Statistical Society (JIRSS), 9:1 (March 2010), 41–51.
  
• Hachem, C., Chaubey, Y. P., Fazio, P., Rao, J., Bartlett, K., « Statistical analysis of microbial volatile organic compounds in an experimental project: Identification and transport analysis », Indoor and Built Environment, 19:2 (April 2010), 275–285.
  
• Chaubey, Y. P., Mudholkar, G. S., Jones, M. C., « Reciprocal symmetry, unimodality and Khintchine's theorem », Proceedings of The Royal Society of London. Series A. Mathematical, Physical and Engineering Sciences, 466:2119 (July 2010), 2079–2096.
  
• Chaubey, Y. P., Laib, N., Sen, A., « Generalised kernel smoothing for non-negative stationary ergodic processes », Journal of Nonparametric Statistics, 22:8 (November 2010), 973–997.
  
• Chaubey, Y. P., Chesneau, C., Doosti, H., « On linear wavelet density estimation: Some recent developments », Journal of the Indian Society of Agricultural Statistics, 65:2 (2011), 169–179.
  
• Sen, D., Chaubey, Y. P., « A class of accelerated life testing models based on the gamma distribution », Journal of the Indian Society of Agricultural Statistics, 65:2 (2011), 155–161.
  
• Chaubey, Y. P., Li, J., Dewan, I., « Smooth estimation of survival and density functions for a stationary associated process using Poisson weights », Statistics & Probability Letters, 81:2 (February 2011), 267–276.
  
• 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., Laib, N., Li, J., « Generalized kernel regression estimator for dependent size-biased data », Journal of Statistical Planning and Inference, 142:3 (March 2012), 708–7327.
  

• Chaubey, Y. P., Sen, D., « Properties of a preliminary test estimator of an inverse Gaussian population mean », in Statistical Techniques in Life-Testing, Reliability, Sampling Theory and Quality Control, International Conference on Recent Statistical Techniques in Life-Testing, Reliability, Sampling Theory and Quality Control (Vanarasi, 2003), B. N. Pandey, eds., New Delhi, Narosa Publ. House, 2007.
  
• Howlader, T., Chaubey, Y. P., « Bivariate estimator for cDNA microarray images using complex wavelets », International Conference on Bioinformatics & Computational Biology — BIOCOMP 2008 (Las Vegas, NV, 2008), H. R. Arabnia, M. Q. Yang, J. Y. Yang, eds., CSREA Press, 2008, 138–144.
  
• Hachem, C., Fazio, P., Rao, J., Bartlett, K., Chaubey, Y. P., « Investigation of microbial volatile organic compounds and their transport through the building envelope », in Proceedings of the 8th Symposium on Building Physics in the Nordic Countries. Vol. 2, Nordic Symposium on Building Physics 2008 (Copenhagen, 2008), C. Rode, eds., Kongens Lyngby, Dept. of Civil Engineering, Technical University of Denmark, 2008, 943–950.
  
• Hachem, C., Fazio, P., Rao, J., Chaubey, Y. P., Bartlett, K., « Statistical analysis of mold related volatile organic compounds in full scale stud wall cavities », in Energy Efficiency and New Approaches, 4th International Building Physics Conference (Istanbul, 2009), N. T. Bayazit, G. Manioğlu, G. K. Oral, Z. Yilmaz, eds., 2009, 325–332.
  

• Chaubey, Y. P., Sen, A., Sen, P. K., « A new smooth density estimator for non-negative random variables », Dept of Math. & Stat., Concordia University, 01/07, January 2007, 23 p.
  

Pierre Duchesne

• Harms, T., Duchesne, P., « Sur l’utilisation de la régression non paramétrique pour des données d’enquêtes », in Méthodes de sondage , A. Ruiz-Gazen, P. Guilbert, D. Haziza, Y. Tillé, eds., Sciences Sup, Paris, Dunod, 2008.
  

• Duchesne, P., « On consistent testing for serial correlation in seasonal time series models », The Canadian Journal of Statistics / La Revue canadienne de statistique, 35:2 (2007), 193–213.
  
• Gagné, C., Duchesne, P., « On robust forecasting in dynamic vector time series models », Journal of Statistical Planning and Inference, 138:12 (2008), 3927–3938.
  
• Duchesne, P., Pacurar, M., « Evaluating financial time series models for irregularly spaced data: A spectral density approach », Computers & Operations Research, 35:1, Applications of OR in Finance (January 2008), 130–155.
  
• Poulin, J., Duchesne, P., « On the power transformation of kernel-based tests for serial correlation in vector time series: Some finite sample results », Computational Statistics & Data Analysis, 52:9 (May 2008), 4432–4457.
  
• Chabot-Hallé, D., Duchesne, P., « Diagnostic checking multivariate nonlinear time series models with martingale difference errors », Statistics & Probability Letters 78:8 (June 2008), 997–1005.
  
• Ursu, E., Duchesne, P., « On modelling and diagnostic checking of vector periodic autoregressive time series models », Journal of Time Series Analysis, 30:1 (January 2009), 70–96.
  
• Ursu, E., Duchesne, P., « Estimation and model adequacy checking for multivariate seasonal autoregressive time series models with periodically varying parameters », Statistica Neerlandica, 63:2 (May 2009), 183–212.
  
• Ursu, E., Duchesne, P., « On multiplicative seasonal modelling for vector time series  », Statistics & Probability Letters, 79:19 (October 2009), 2045–2052.
  
• Dionne, G., Duchesne, P., Pacurar, M., « Intraday value at risk (IVaR) using tick-by-tick data with application to the Toronto Stock Exchange », Journal of Empirical Finance, 16:5 (December 2009), 777–792.
  
• Duchesne, P., Lafaye de Micheaux, P., « Computing the distribution of quadratic forms: Further comparisons between the Liu–Tang–Zhang approximation and exact methods », Computational Statistics & Data Analysis, 54:4 (April 2010), 858–862.
  
• Duchesne, P., « Corrigendum to: “On matricial measures of dependence in vector ARCH models with applications to diagnostic checking” [Statist. Probab. Lett. 68 (2004) 149–160] », Statistics & Probability Letters, 80:9-10 (May 2010), 910.
  
• Harms, T., Duchesne, P., « On kernel nonparametric regression designed for complex survey data », Metrika, 72:1 (July 2010), 111–138.
  
• Duchesne, P., Lalancette, S., « Authors' corrigenda/corrections des auteurs on testing for multivariate ARCH effects in vector time series models », The Canadian Journal of Statistics / La revue canadienne de statistique, 38:3 (September 2010), 517.
  
• Duchesne, P., Li, L., Vandermeerschen, J., « On testing for serial correlation of unknown form using wavelet thresholding  », Computational Statistics & Data Analysis, 54:11 (November 2010), 2512–2531.
  

• Duchesne, P., Francq, C., « On diagnostic checking time series models with portmanteau test statistics based on generalized inverses and {2}-inverses », in COMPSTAT 2008, 18th Conference of IASC-ERS — COMPSTAT 2008 (Porto, 2008), P. Brito, eds., Heidelberg, Physica-Verlag, 2008, 143–154.
  

• Duchesne, P., Francq, C., « On testing for the mean vector of a multivariate distribution with generalized and {2}-inverses », MPRA Paper no 19740, January 2010.
  
• Duchesne, P., Ghoudi, K., Rémillard, B., « On testing for independence between several time series », SSRN, April 2011, 32 p.
  

Thierry Duchesne

• Day, D. M., Bevc, I., Duchesne, T., Rosenthal, J. S., Rossman, L., Theodor, F., « Comparison of adult offense prediction methods based on juvenile offense trajectories using cross-validation », Advances and Applications in Statistics, 7:1 (April 2007), 1–46.
  
• Beaudoin, D., Duchesne, T., Genest, C., « Improving the estimation of Kendall's tau when censoring affects only one of the variables », Computational Statistics & Data Analysis, 51:12 (August 2007), 5743–5764.
  
• Bérubé, S., Provencher, L., Robert, J., Jacob, S., Hébert-Croteau, N., Lemieux, J., Duchesne, T., Brisson, J., « Quantitative exploration of possible reasons for the recent improvement in breast cancer survival », Breast Cancer Research and Treatment, 106:3 (December 2007), 419–431.
  
• Craiu, R. V., Duchesne, T., Fortin, D., « Inference methods for the conditional logistic regression model with longitudinal data », Biometrical Journal, 50:1 (February 2008), 97–109.
  
• Lemieux, J., Goodwin, P. J., Pritchard, K. I., Gelmon, K. A., Bordeleau, L. J., Duchesne, T., Camden, S., Speers, C. H., « Identification of cancer care and protocol characteristics associated with recruitment in breast cancer clinical trials », Journal of Clinical Oncology, 26:27 (September 2008), 4458–4465.
  
• Bousquet, N., Duchesne, T., Rivest, L.-P., « Redefining the maximum sustainable yield for the Schaefer population model including multiplicative environmental noise », Journal of Theoretical Biology, 254:1 (September 2008), 65–75.
  
• Duchesne, T., Marri, F., « General distributional properties of discounted warranty costs with risk adjustment under minimal repair », IEEE Transactions on Reliability, 58:1 (March 2009), 143–151.
  
• Fortin, D., Fortin, M.-È., Beyer, H. L., Duchesne, T., Courant, S., Dancose, K., « Group-size-mediated habitat selection and group fusion–fission dynamics of bison under predation risk », Ecology, 90:9 (September 2009), 2480–2490.
  
• Meyer, F., Samson, É., Douville, P., Duchesne, T., Liu, G., Bairati, I., « Serum prognostic markers in head and neck cancer », Clinical Cancer Research, 16:3 (February 2010), 1008–1015.
  
• Duchesne, T., Fortin, D., Courbin, N., « Mixed conditional logistic regression for habitat selection studies. », Journal of Animal Ecology, 79:3 (May 2010), 548–555.
  
• Bousquet, N., Cadigan, N., Duchesne, T., Rivest, L.-P., « Detecting and correcting underreported catches in fish stock assessment: trial of a new method », Canadian Journal of Fisheries and Aquatic Sciences, 67:8 (July 2010), 1247–1261.
  
• Ward, A. K., Day, D. M., Bevc, I., Sun, Y., Rosenthal, J. S., Duchesne, T., « Criminal trajectories and risk factors in a Canadian sample of offenders », Criminal Justice and Behavior, 37:11 (November 2010), 1278–1300.
  
• Dehghan, M. H., Duchesne, T., « A generalization of Turnbull's estimator for nonparametric estimation of the conditional survival function with interval-censored data  », Lifetime Data Analysis, 1: 2 (April 2011), 234–255.
  
• Craiu, V. R., Duchesne, T., Fortin, D., Baillargeon, S., « Conditional logistic regression with longitudinal follow up and individual-level random coefficients: A stable and efficient two-step estimation method », Journal of Computational and Graphical Statistics, 20:3 (September 2011), 76–784.
  
• Talbot, D., Duchesne, T., Brisson, J., Vandal, N., « Variance estimation and confidence intervals for the standardized mortality ratio with application to the assessment of a cancer screening program », Statistics in Medicine, 30:25 (November 2011), 3024–3037.
  
• Dehghan, M. H., Duchesne, T., « On the performance of some non-parametric estimators of the conditional survival function with interval-censored data », Computational Statistics & Data Analysis, 55:12 (December 2011), 3355–3364.
  

• Duchesne, T., Rivest, L.-P., « Probabilités, statistique et population de poissons », Accromath, 6:2 (2011), 14–18.
  

Debbie J. Dupuis

• Dupuis, D. J., « Using copulas in hydrology: Benefits, cautions, and issues », Journal of Hydrologic Engineering, 12:4 (2007), 381–393.
  
• Dupuis, D. J., Jacquier, E., Papageorgiou, N., Rémillard, B., « Empirical evidence on the dependence of credit default swaps and equity prices », Journal of Futures Markets, 29:8 (August 2009), 695–796.
  
• Denault, M., Dupuis, D. J., Couture-Cardinal, S., « Complementarity of hydro and wind power: Improving the risk profile of energy inflows », Energy Policy, 37:12 (December 2009), 5376–5384.
  
• Dupuis, D. J., « Statistical modeling of the monthly parlmer drought severity index  », Journal of Hydrologic Engineering, 15:10 (October 2010), 796–807.
  
• Dupuis, D. J., « Forecasting temperature to price CME temperature derivatives », International Journal of Forecasting, 27:2 (2011), 602–618.
  
• Dupuis, D. J., Victoria-Feser, M.-P., « Fast robust model selection in large datasets », Journal of the American Statistical Association, 106:493 (March 2011), 203–212.
  
• Tsai, Y.-L., Murdoch, D. J., Dupuis, D. J., « Influence measures and robust estimators of dependence in multivariate extremes », Extremes, 14:4 (December 2011), 343–363.
  
• Tsai, Y.-L., Dupuis, D. J., Murdoch, D. J., « A robust test for asymptotic independence in multivariate extremes », Statistics (XXXX), accepted.
  
• Dupuis, D. J., « Modeling waves of extreme temperature: the changing tails of four cities », Journal of the American Statistical Association (XXXX), accepted.
  

• Breton, M., Dupuis, D. J., Laporte, G., « Cent ans d’histoire en méthodes quantitatives », Gestion, 32:3 (October 2007), 12–20.
  

Anne-Catherine Favre

• Genest, C., Favre, A.-C., « Everything you always wanted to know about copula modeling but were afraid to ask », Journal of Hydrologic Engineering, 12:4 (2007), 347–368.
  
• Genest, C., Favre, A.-C., Béliveau, J., Jacques C., « Metaelliptical copulas and their use in frequency analysis of multivariate hydrological data », Water Resources Research, 43 (September 2007), W09401, 12 pages.
  
• Merleau, J., Perreault, L., Angers, J.-F., Favre, A.-C., « Bayesian modeling of hydrographs », Water Resources Research, 43 (October 2007), W10432, 15 pages.
  

• Merleau, J., Angers, J.-F., Perreault, L., Favre, A.-C., « Modelling the average behaviour of a sample of curves with Bayesian regression splines », Centre de recherches mathématiques, CRM-3271, December 2008, 40 p.
  

Sorana Froda

• Froda, S., Nkurunziza, S., « Prediction of predator-prey populations modelled by perturbed ODEs », Journal of Mathematical Biology, 54:3 (2007), 407–451.
  

José Garrido

• Dufresne, D., Garrido, J., Morales, M., « Fourier Inversion formulas in option pricing and insurance », Methodology and Computing in Applied Probability, 11:3 (June 2009), 359–383.
  

Christian Genest

• Genest, C., Quessy, J.-F., Rémillard, B., « Asymptotic local efficiency of Cramér–von Mises tests for multivariate independence », The Annals of Statistics, 35:1 (2007), 166–191.
  
• Genest, C., Favre, A.-C., « Everything you always wanted to know about copula modeling but were afraid to ask », Journal of Hydrologic Engineering, 12:4 (2007), 347–368.
  
• Genest, C., Nešlehová, J., « A primer on copulas for count data », ASTIN Bulletin, 37:2 (2007), 475–515.
  
• Belhouse, D. R., Genest, C., « Maty’s biography of Abraham De Moivre, translated,annotated and augmented », Statistical Science, 22:1 (February 2007), 109–136.
  
• Beaudoin, D., Duchesne, T., Genest, C., « Improving the estimation of Kendall's tau when censoring affects only one of the variables », Computational Statistics & Data Analysis, 51:12 (August 2007), 5743–5764.
  
• Genest, C., Favre, A.-C., Béliveau, J., Jacques C., « Metaelliptical copulas and their use in frequency analysis of multivariate hydrological data », Water Resources Research, 43 (September 2007), W09401, 12 pages.
  
• Genest, C., Ghoudi, K., Rémillard, B., « Rank-based extensions of the Brock, Dechert, and Scheinkman test », Journal of the American Statistical Association, 102:480 (December 2007), 1363–1376.
  
• Grégoire, V., Genest, C., Gendron, M., « Using copulas to model price dependence in energy markets », Energy Risk, 5:5 (2008), 58–64.
  
• Dolati, A., Genest, C., Kochar, S. C., « On the dependence between the extreme order statistics in the proportional hazards model », Journal of Multivariate Analysis, 99:5 (May 2008), 777–786.
  
• Genest, C., Rémillard, B., « Validity of the parametric bootstrap for goodness-of-fit testing in semiparametric models », Annales de l'Institut Henri Poincaré. Probabilités et statistiques, 44:6 (December 2008), 1096–1127.
  
• Genest, C., Gendreau, M., Bourdeau-Brien, M., « The advent of copulas in finance », The European Journal of Finance, 15:7-8 (2009), 609–618.
  
• Genest, C., Masiello, E., Tribouley, K., « Estimating copula densities through wavelets », Insurance: Mathematics & Economics, 44:2 (April 2009), 170–181.
  
• Genest, C., Rémillard, B., Beaudoin, D., « Goodness-of-fit tests for copulas: A review and a power study », Insurance: Mathematics & Economics, 44:2 (April 2009), 199–213.
  
• Genest, C., Kochar, S. C., Xu, M., « On the range of heterogeneous samples », Journal of Multivariate Analysis, 100:8 (September 2009), 1587–1592.
  
• Genest, C., Segers, J., « Rank-based inference for bivariate extreme-value copulas », The Annals of Statistics, 37:5B (October 2009), 2990–3022.
  
• Genest, C., Lévesque, J.-M., « Estimating correlation from dichotomized normal variables », Journal of Statistical Planning and Inference, 139:11 (November 2009), 3785–3794.
  
• Genest, C., Nešlehová, J., « Analytical proofs of classical inequalities between Spearman's $\rho$ and Kendall's $\tau$ », Journal of Statistical Planning and Inference, 139:11 (November 2009), 3795–3798.
  
• Ben Ghorbal, N., Genest, C., Nešlehová, J., « On the Ghoudi, Khoudraji, and Rivest test for extreme-value dependence », The Canadian Journal of Statistics / La Revue canadienne de statistique, 37:4 (December 2009), 534–552.
  
• Genest, C., Nešlehová, J., Ben Ghorbal, N., « Spearman's footrule and Gini's gamma: a review with complements  », Journal of Nonparametric Statistics, 22:8 (February 2010), 937–954.
  
• Feidt, A., Genest, C., Nešlehová, J., « Asymptotics of joint maxima for discontinuous random variables », Extremes, 13:1 (March 2010), 35–53.
  
• Munroe, P., Ransford, T. J., Genest, C., « Un contre-exemple à une conjecture de Hutchinson et Lai », Comptes rendus. Mathématique, 348:5-6 (March 2010), 305–310.
  
• Genest, C., Brackstone, G., « A conversation with Martin Bradbury Wilk », Statistical Science, 25:2 (May 2010), 258–273.
  
• Genest, C., Segers, J., « On the covariance of the asymptotic empirical copula process », Journal of Multivariate Analysis 101:8 (September 2010), 1837–1845.
  
• Genest, C., Kojadinovic, I., Nešlehová, J., Yan, J., « A goodness-of-fit test for bivariate extreme-value copulas », Bernoulli, 17:1 (February 2011), 253–275.
  
• Genest, C., Nešlehová, J., Ben Ghorbal, N., « Estimators based on Kendall's tau in multivariate copula models », Australian & New Zealand Journal of Statistics, 53:2 (June 2011), 157–177.
  
• Genest, C., Nešlehová, J., Ziegel, J., « Inference in multivariate Archimedean copula models », TEST, 20:2 (August 2011), 223–256.
  
• Genest, C., Nešlehová, J., Quessy, J.-F., « Test of symmetry for bivariate copulas », Annals of the Institute of Statistical Mathematics (XXXX), accepted.
  
• Genest, C., Nikoloulopoulos, A., Rivest, L.-P., Fortin, M., « Predicting dependent binary outcomes through logistic regressions and meta-elliptical copulas », Brazilian Journal of Probability and Statistics, 26 (XXXX), accepted.
  

• Genest, C., Rivest, L.-P., « Comment compter les cerfs ? », Accromath, 3:2 (2008), 2–7.
  

Nadia Ghazzali

• Ghazzali, N., Lanouette, M., Les femmes en sciences et en génie à travers l’histoire, Université Laval, 2008.
  

• Saïd, M., Ghazzali, N., Rivest, L.-P., « Score tests for independence in parametric competing risks models », Test, 16:3 (2007), 547–564.
  
• Saïd, M., Ghazzali, N., Rivest, L.-P., « Score tests for independence in semiparametric competing risks models  », Lifetime Data Analysis, 15:4 (December 2009), 413–440.
  

Simon Guillotte

• Guillotte, S., Perron, F., « A Bayesian estimator for the dependence function of a bivariate extreme-value distribution », The Canadian Journal of Statistics / La revue canadienne de statistique, 36:3 (September 2008), 383–396.
  
• Guillotte, S., Perron, F., Segers, J., « Non-parametric Bayesian inference on bivariate extremes », Journal of the Royal Statistical Society. Series B. Statistical Methodology, 73:3 (June 2011), 377–406.
  
• Perron, F., Guillotte, S., « Bayesian estimation of a bivariate copula using the Jeffreys prior », Bernoulli (XXXX), accepted.
  

Aurélie Labbe

• Labbe, A., McClintick, J., Martinez, M., « Summary of contributions to GAW15 Group 16: processing/normalization of expression traits », Genetic Epidemiology, 31:S1 (2007), S132-S138.
  
• Labbe, A., Roth, M.-P., Carmichael, P.-H., Martinez, M., « Impact of gene expression data pre-processing on expression quantitative trait locus mapping », BMC Proceedings, 1:Suppl. 1 (2007), S153, 5 pages.
  
• Labbe, A., Thompson, M. E., « Multiple testing using the posterior probabilities of directional alternatives, with application to genomic studies », The Canadian Journal of Statistics / La Revue canadienne de statistique, 35:1 (March 2007), 51–68.
  
• Miranda-Moreno, L. F., Labbe, A., Fu, L., « Bayesian multiple testing procedures for hotspot identification », Accident Analysis & Prevention, 39:6 (November 2007), 1192–1201.
  
• Bureau, A., Labbe, A., Croteau, J., Mérette, C., « Using disease symptoms to improve detection of linkage under genetic heterogeneity », Genetic Epidemiology, 32:5 (July 2008), 476–486.
  
• Derome, N., Bougas, B., Rogers, S. M., Whiteley, A. R., Labbe, A., Laroche, J., Bernatchez, L., « Pervasive sex-linked effects on transcription regulation as revealed by expression quantitative trait loci mapping in lake whitefish species pairs (Coregonus sp, Salmonidae) », Genetics, 179:4 (August 2008), 1903–1917.
  
• Whiteley, A. R., Derome, N., Rogers, S. M., St-Cyr, J., Laroche, J., Labbe, A., Bernatchez, L., « The phenomics and eQTL mapping of brain transcriptomes regulating adaptive divergence in lake whitefish species pairs (Coregonus sp.) », Genetics, 180:1 (September 2008), 147–164.
  
• Labbe, A., Bureau, A., Mérette, C., « Integration of genetic familial dependence structure in latent class models », The International Journal of Biostatistics, 5:1 (January 2009), article 6, 28 pages.
  
• Gilbert, I., Scantland, S., Dufort, I., Gordynska, O., Labbe, A., Sirard, M. A., Robert, C., « Real-time monitoring of aRNA production during T7 amplification to prevent the loss of sample representation during microarray hybridization sample preparation », Nucleic Acids Research, 37:8 (May 2009), e65.
  
• Vallée, M., Dufort, I., Desrosiers, S., Labbe, A., Gravel, C., Gilbert, I., Robert, C., Sirard, M. A., « Revealing the bovine embryo transcript profiles during early in vivo embryonic development », Reproduction, 138:1 (July 2009), 95–105.
  

Pierre Lafaye de Micheaux

• Beran, R., Bilodeau, M., Lafaye de Micheaux, P., « Nonparametric tests of independence between random vectors », Journal of Multivariate Analysis, 98:9 (October 2007), 1805–1824.
  
• Duchesne, P., Lafaye de Micheaux, P., « Computing the distribution of quadratic forms: Further comparisons between the Liu–Tang–Zhang approximation and exact methods », Computational Statistics & Data Analysis, 54:4 (April 2010), 858–862.
  
• 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 (May 2012), 965–971.
  

Lajmi Lakhal-Chaieb

• Lakhal-Chaieb, L., Rivest, L.-P., Abdous, B., « Estimating survival and association in a semicompeting risk model », Biometrics, 64:1 (2008), 180–188.
  
• Lakhal Chaieb, L., Rivest, L.-P., Abdous, B., « Estimating survival and association in a semicompeting risks model », Biometrics, 64:1 (March 2008), 180–188.
  
• Lakhal Chaieb, L., Rivest, L.-P., Beaudoin, D., « IPCW estimator for Kendall's tau under bivariate censoring », The International Journal of Biostatistics, 5:1
  (2009), 8, 22 pages.
  

Fabrice Larribe

• Baldwin, M., Bouchard, M., Larribe, F., Mergler, D., « Past Occupational Exposure to Airborne Manganese in a Manganese Alloy Plant », Journal of Occupational and Environmental Hygiene, 5:7 (July 2008), 426–437.
  
• Larribe, F., Lessard, S., « A composite-conditional-likelihood approach for gene mapping based on linkage disequilibrium in windows of markers », Statistical Applications in Genetics and Molecular Biology, 7:1 (August 2008), 27, 31 pages.
  

Geneviève Lefebvre

• Moodie, E. E. M., Delaney, J. A. C., Lefebvre, G., Platt, R. W., « Missing confounding data in marginal structural models: a comparison of inverse probability weighting and multiple imputation », The International Journal of Biostatistics, 4:1 (January 2008), Art. 4, 25 pages.
  
• Lefebvre, G., Steele, R., Vandal, A. C., « A path sampling identity for computing the Kullback–Leibler and J divergences », Computational Statistics & Data Analysis, 54:7 (July 2010), 1719–1731.
  

Christian Léger

• 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 (May 2012), 965–971.
  

Brenda MacGibbon

• Angers, J.-F., MacGibbon, B., « Bayesian estimation of the hazard function with randomly right censored data », in Statistical Advances in the Biomedical Sciences: Clinical Trials, Epidemiology, Survival Analysis and Bioinformatics, A. Biswas, S. Datta, J. P. Fine, M. R. Segal, eds., Wiley, 2008.
  
• MacGibbon, B., « Minimax risk over hyperrectangles with applications to the Poisson case », in Borrowing Strength: Theory, Powering Applications — A Festschrift for Lawrence G. Brown, J. O. Berger, T. T. Cai, I. M. Johnstone, eds., IMS Collections, Beachwood, OH, Inst. Math. Stat., 2010.
  

• Younes, H., Delampady, M., MacGibbon, B., Cherkaoui, O., « A hierarchical Bayesian approach to the estimation of monotone hazard rates in the random right censorship model », Journal of Statistical Research 41:2 (2007), 35–62.
  
• Farrell, P., MacGibbon, B., Tomberlin, T. J., « A hierarchical Bayes approach to estimation and prediction for time series of counts », Brazilian Journal of Probability and Statistics, 21:2 (June 2007), 187–202.
  
• Morgan, S., MacGibbon, B., « Pharmaceutical use and outcomes: always a need for a sober second look », Healthcare Policy / Politiques de santé, 3:1 (August 2007), 10–22.
  
• Chen, Y., Dinwoodie, I. H., MacGibbon, B., « Sampling for conditional inference on case-control data », Biometrics, 63:3 (September 2007), 845–855.
  
• Farrell, P. J., MacGibbon, B., Tomberlin, T. J., « A hierarchical Bayes approach to estimation and prediction for time series of counts », Brazilian Journal of Probability and Statistics, 21:2 (December 2007), 187–202.
  
• Bartlett, G., Blais, R., Tamblyn, R., Clermont, R. J., MacGibbon, B., « Impact of patient communication problems on the risk of preventable adverse events in acute care settings », Canadian Medical Association Journal / Journal de l'Association médicale canadienne, 178:12 (June 2008), 1555–1562.
  
• Li, L., MacGibbon, B., Valenta, C., « On the optimality of wavelet-based nonparametric regression with censored data », Journal of Applied Probability & Statistics 3:2 (November 2008), 243–261.
  
• Dechevsky, L. T., MacGibbon, B., « Asymptotically minimax non-parametric function estimation with positivity constraints. II », International Journal of Pure and Applied Mathematics, 57:2 (2009), 165–199.
  
• Dechevsky, L. T., MacGibbon, B., « Asymptotically minimax non-parametric function estimation with positivity constraints. I », Statistics, 43:5 (October 2009), 423–442.
  
• Farrell, P. J., MacGibbon, B., Tomberlin, T. J., « A comparison of computational approaches to Bayesian small area estimation of proportions in hierarchical logistic models », Journal of Statistical Research, 44:1 (2010), 167–186.
  
• Sauter, E. R., Klein-Szanto, A., MacGibbon, B., Ehya, H., « Nipple aspirate fluid and ductoscopy to detect breast cancer », Diagnostic Cytopathology, 38:4 (April 2010), 244–251.
  
• Farrell, P. J., Groshen, S., MacGibbon, B., Tomberlin, T. J., « Outlier detection for a hierarchical Bayes model in a study of hospital variation in surgical procedures », Statistical Methods in Medical Research, 6 (December 2010), 601–619.
  
• Farrell, P. J., MacGibbon, B., Tomberlin, T. J., Doreen, D., « A Bayesian analysis of a random effects small business loan credit scoring model », Pakistan Journal of Statistics and Operation Research, 7:2 (September 2011), 433–449.
  

Éric Marchand

• Jafari Jozani, M., Marchand, É., « Minimax estimation of constrainted parametric functions for discrete families of distributions », Métrika, 66:2 (July 2007), 151–160.
  
• Marchand, É., Strawdermann, W. E., Bosa, K., Lmoudden, A., « On the frequentist coverage of Bayesian credible intervals for lower bounded means », Electronic Journal of Statistics, 2 (2008), 1028–1042.
  
• Marchand, É., Payandeh, A. T., Perron, F., Ouassou, I., « On the estimation of a restricted location parameter for symmetric distributions », Journal of the Japan Statistical Society, 38:2 (2008), 293–309.
  
• Marchand, É., Perron, F., « Estimating a bounded parameter for symetric distributions », Annals of the Institute of Statistical Mathematics, 61:1 (March 2009), 215–234.
  
• Ahmadi, J., Jafari Jozani, M., Marchand, É., Parsian, A., « Bayes estimation based on $k$-record data from a general class of distributions under balanced type loss functions », Journal of Statistical Planning and Inference, 139:3 (March 2009), 1180–1189.
  
• Ahmadi, J., Jafari Jozani, M., Marchand, É., Parsian, A., « Prediction of $k$-records from a general class of distributions under balanced type loss functions », Metrika, 70:1 (June 2009), 19–33.
  
• Kucerovsky, D., Marchand, É., Strawdermann, W. E., Payandeh, A. T., « On the Bayesianity of maximum likelihood estimators of restricted location parameters under absolute value error loss », Statistics & Decisions, 27:2 (December 2009), 145–168.
  
• Ait Aoudia, D., Marchand, É., « On the number of runs for Bernoulli arrays », Journal of Applied Probability, 47:2 (June 2010), 367–377.
  
• Fourdrinier, D., Marchand, É., « On Bayes estimators with uniform priors on spheres and their comparative performance with maximum likehood estimators for estimating bouded multivariate normal means », Journal of Multivariate Analysis, 101:6 (July 2010), 1390–1399.
  
• Marchand, É., Payandeh, A. T., « Improving on minimum risk equivariant and linear minimax estimators of bounded multivariate location parameters », REVSTAT Statistical Journal, 8:2 (October 2010), 125–138.
  
• Fourdrinier, D., Marchand, É., Righi, A., Strawdermann, W. E., « On improved predictive density estimation with parametric constraints », Electronic Journal of Statistics, 5 (2011), 172–191.
  
• Marchand, É., Payandeh, A. T., « Bayesian improvements of a MRE estimator of a bounded location parameter », Electronic Journal of Statistics, 5 (2011), 1495–1502.
  
• 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.
  
• Marchand, É., Strawdermann, W. E., « A unified minimax result for restricted parameter spaces », Bernoulli (XXXX).
  

• 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, eds., IMS Collections, Beachwood, OH, Inst. Math. Stat., XXXX, accepted.
  

• Kortbi, O., Marchand, É., « Truncated linear estimation of a bounded multivariate normal mean », Dép. de mathématiques, Univ. de Sherbrooke, 101, May 2011.
  
• Ait Aoudia, D., Marchand, É., Perron, F., « Linear forms, quadratic forms and the normal distribution », Dép. de mathématiques, Univ. de Sherbrooke, 103, June 2011.
  

Erica E. M. Moodie

• Moodie, E. E. M., Richardson, T. S., Stephens, D. A., « Demystifying optimal dynamic treatment regimes », Biometrics, 63:2 (June 2007), 447–455.
  
• Moodie, E. E. M., Delaney, J. A. C., Lefebvre, G., Platt, R. W., « Missing confounding data in marginal structural models: a comparison of inverse probability weighting and multiple imputation », The International Journal of Biostatistics, 4:1 (January 2008), Art. 4, 25 pages.
  
• Hanley, J. A., Julien, M., Moodie, E. E. M., « Student's $z$, $t$, and $s$: what if Gosset had R? », The American Statistician, 62:1 (February 2008), 64–69.
  
• Veerapathran, A., Joshi, R., Goswami, K., Dogra, S., Moodie, E. E. M., Reddy, M. V. R., Kalantri, S., Schwartzman, K., Behr, M. A., Menzies, D., Pai, M., « T-cell assays for tuberculosis infection: deriving cut-offs for conversions using reproducibility data », PLoS One, 3:3 (March 2008), e1850, 7 pages.
  
• Delaney, J. A. C., Moodie, E. E. M., Suissa, S., « Validating the effects of drug treatment on blood pressure in the General Practice Research Database », Pharmacoepidemiology and Drug Safety, 17:6 (June 2008), 535–545.
  
• Moodie, E. E. M., Pai, N. P., Klein, M. B., « Is antiretroviral therapy causing long-term liver damage? A comparative analysis of HIV-mono-infected and HIV/Hepatitis C co-infected cohorts », PLoS One, 4:2 (February 2009), e4517, 9 pages.
  
• Moodie, E. E. M., Platt, R. W., Kramer, M. S., « Estimating response-maximized decision rules with applications to breastfeeding », Journal of the American Statistical Association, 104:485 (March 2009), 155–165.
  
• Pai, N. P., Joshi, R., Moodie, E. E. M., Taksande, B., Kalantri, S. P., Pai, M., Tulsky, J. P., Reingold, A. L., « Profile of adults seeking voluntary HIV testing and counseling in rural Central India: results from a hospital-based study », AIDS Care, 21:3 (March 2009), 294–300.
  
• Pai, N. P., Estes, M., Moodie, E. E. M., Reingold, A. L., Tulsky, J. P., « The impact of antiretroviral therapy in a cohort of HIV infected patients going in and out of the San Francisco county jail », PLoS One, 4:9 (September 2009), e7115, 8 pages.
  
• Moodie, E. E. M., « Risk factor adjustment in marginal structural model estimation of optimal treatment regimes », Biometrical Journal, 51:5 (October 2009), 774–788.
  
• Moodie, E. E. M., « A note on the variance of doubly-robust G-estimates », Biometrika, 96:4 (December 2009), 998–1004.
  
• Xiao, Y., Abrahamowicz, M., Moodie, E. E. M., « Accuracy of conventional and marginal structural Cox model estimators: A simulation study », The International Journal of Biostatistics, 6:2 (January 2010), 13, 30 pages.
  
• Rich, B., Moodie, E. E. M., Stephens, D. A., Platt, R. W., « Model checking with residuals for g-estimation of optimal dynamic treatment regimes », The International Journal of Biostatistics, 6:2 (January 2010), Art. 12, 24 pages.
  
• Biernot, P., Moodie, E. E. M., « A comparioson of variable selection approaches for dynamic treatment regimes », The International Journal of Biostatistics, 6:1 (January 2010), 6, 20 pages.
  
• Moodie, E. E. M., Richardson, T. S., « Estimating optimal dynamic regimes: Correcting bias under the null », Scandinavian Journal of Statistics. Theory and Applications, 37:1 (March 2010), 126–146.
  
• Moodie, E. E. M., Stephens, D. A., « Using directed acyclic graphs to detect limitations of traditional regression in longitudinal studies », International Journal of Public Health, 55:6 (December 2010), 701–703.
  
• Moodie, E. E. M., Stephens, D. A., « Marginal structural models: unbiased estimation for longitudinal studies », International Journal of Public Health, 56:1 (February 2011), 117–119.
  
• Thorpe, J., Saeed, S., Moodie, E. E. M., Klein, M. B., « Antiretroviral treatment interruption leads to progression of liver fibrosis in HIV-hepatitis C virus co-infection », AIDS, 25:7 (April 2011), 967–975.
  
• Kramer, M. S., Moodie, E. E. M., Dahhou, M., Platt, R. W., « Breastfeeding and infant size: Evidence of reverse causality », American Journal of Epidemiology, 173:9 (May 2011), 978–983.
  
• Moodie, E. E. M., Stephens, D. A., « Estimation of dose-response functions for longitudinal data using the generalized propensity score », Statistical Methods in Medical Research, 21:2 (April 2012), 149–166.
  
• 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 (XXXX), accepted.
  

Manuel Morales

• Morales, M., « On the expected discounted penalty function for a perturbed risk process driven by a subordinator », Insurance: Mathematics & Economics, 40:2 (March 2007), 293–301.
  
• Bahsoun, W., Góra, P., Mayoral, S., Morales, M., « Random dynamics and finance: constructing implied binomial trees from a predetermined stationary density », Applied Stochastic Models in Business and Industry, 23:3 (May 2007), 181–212.
  
• Dufresne, D., Garrido, J., Morales, M., « Fourier Inversion formulas in option pricing and insurance », Methodology and Computing in Applied Probability, 11:3 (June 2009), 359–383.
  
• Biffis, E., Morales, M., « On a generalization of the Gerber–Shiu function to path-dependent penalties », Insurance: Mathematics & Economics, 46:1 (February 2010), 92–97.
  
• Assa, H., Morales, M., « Risk measures on the space of infinite sequences », Mathematics and Financial Economics, 2:4 (March 2010), 253–275.
  
• Godin, F., Mayoral, S., Morales, M., « Contingent claim pricing using a normal inverse Gaussian probability distortion operator », Journal of Risk and Insurance (XXXX), accepted.
  

• Morales, M., Olivares, P., « On the expected discounted penalty function for a risk model perturbed by a spectrally negative Levy process », Centre de recherches mathématiques, CRM-3296, March 2010.
  

Alejandro Murua

• Murua, A., Stuetzle, W., Tantrum, J., Sieberts, S., « Model based document classification and clustering », International Journal of Tomography & Statistics, 8:W08 (2008), 1–24.
  
• Stanberry, L., Murua, A., Cordes, D., « Functional connectivity using the ferromagnetic Potts spin model », Human Brain Mapping, 29:4 (April 2008), 422–440.
  
• Murua, A., Stanberry, L., Stuetzle, W., « On Potts model clustering, kernel $K$-means and density estimation », Journal of Computational and Graphical Statistics, 17:3 (September 2008), 629–658.
  

• Murua, A., Wicker, N., « The conditional-Potts clustering model », Centre de recherches mathématiques, CRM-3317, October 2011.
  

Johanna Nešlehová

• Genest, C., Nešlehová, J., « A primer on copulas for count data », ASTIN Bulletin, 37:2 (2007), 475–515.
  
• Genest, C., Nešlehová, J., « Analytical proofs of classical inequalities between Spearman's $\rho$ and Kendall's $\tau$ », Journal of Statistical Planning and Inference, 139:11 (November 2009), 3795–3798.
  
• Ben Ghorbal, N., Genest, C., Nešlehová, J., « On the Ghoudi, Khoudraji, and Rivest test for extreme-value dependence », The Canadian Journal of Statistics / La Revue canadienne de statistique, 37:4 (December 2009), 534–552.
  
• Genest, C., Nešlehová, J., Ben Ghorbal, N., « Spearman's footrule and Gini's gamma: a review with complements  », Journal of Nonparametric Statistics, 22:8 (February 2010), 937–954.
  
• Feidt, A., Genest, C., Nešlehová, J., « Asymptotics of joint maxima for discontinuous random variables », Extremes, 13:1 (March 2010), 35–53.
  
• Genest, C., Kojadinovic, I., Nešlehová, J., Yan, J., « A goodness-of-fit test for bivariate extreme-value copulas », Bernoulli, 17:1 (February 2011), 253–275.
  
• Genest, C., Nešlehová, J., Ben Ghorbal, N., « Estimators based on Kendall's tau in multivariate copula models », Australian & New Zealand Journal of Statistics, 53:2 (June 2011), 157–177.
  
• Genest, C., Nešlehová, J., Ziegel, J., « Inference in multivariate Archimedean copula models », TEST, 20:2 (August 2011), 223–256.
  
• Genest, C., Nešlehová, J., Quessy, J.-F., « Test of symmetry for bivariate copulas », Annals of the Institute of Statistical Mathematics (XXXX), accepted.
  

François Perron

• Atchadé, Y. F., Perron, F., « On the geometric ergodicity of Metropolis-Hastings algorithms », Statistics, 41:1 (February 2007), 77–84.
  
• Marchand, É., Payandeh, A. T., Perron, F., Ouassou, I., « On the estimation of a restricted location parameter for symmetric distributions », Journal of the Japan Statistical Society, 38:2 (2008), 293–309.
  
• Cai, B., Meyer, R., Perron, F., « Metropolis–Hastings algorithms with adaptive proposals  », Statistics and Computing, 18:4 (February 2008), 421–433.
  
• Meyer, R., Cai, B., Perron, F., « Adaptive rejection Metropolis sampling using Lagrange interpolation polynomials of degree 2  », Computational Statistics & Data Analysis, 52:17 (March 2008), 3408–3423.
  
• Guillotte, S., Perron, F., « A Bayesian estimator for the dependence function of a bivariate extreme-value distribution », The Canadian Journal of Statistics / La revue canadienne de statistique, 36:3 (September 2008), 383–396.
  
• Marchand, É., Perron, F., « Estimating a bounded parameter for symetric distributions », Annals of the Institute of Statistical Mathematics, 61:1 (March 2009), 215–234.
  
• Guillotte, S., Perron, F., Segers, J., « Non-parametric Bayesian inference on bivariate extremes », Journal of the Royal Statistical Society. Series B. Statistical Methodology, 73:3 (June 2011), 377–406.
  
• Perron, F., Guillotte, S., « Bayesian estimation of a bivariate copula using the Jeffreys prior », Bernoulli (XXXX), accepted.
  
• Jafari Jozani, M., Majidi, S., Perron, F., « Unbiased and almost unbiased ratio estimators of the population mean in ranked set sampling  », Statistical Papers (XXXX), accepted.
  

• Ait Aoudia, D., Marchand, É., Perron, F., « Linear forms, quadratic forms and the normal distribution », Dép. de mathématiques, Univ. de Sherbrooke, 103, June 2011.
  

Robert W. Platt

• Moodie, E. E. M., Delaney, J. A. C., Lefebvre, G., Platt, R. W., « Missing confounding data in marginal structural models: a comparison of inverse probability weighting and multiple imputation », The International Journal of Biostatistics, 4:1 (January 2008), Art. 4, 25 pages.
  
• Moodie, E. E. M., Platt, R. W., Kramer, M. S., « Estimating response-maximized decision rules with applications to breastfeeding », Journal of the American Statistical Association, 104:485 (March 2009), 155–165.
  
• Rich, B., Moodie, E. E. M., Stephens, D. A., Platt, R. W., « Model checking with residuals for g-estimation of optimal dynamic treatment regimes », The International Journal of Biostatistics, 6:2 (January 2010), Art. 12, 24 pages.
  
• Kramer, M. S., Moodie, E. E. M., Dahhou, M., Platt, R. W., « Breastfeeding and infant size: Evidence of reverse causality », American Journal of Epidemiology, 173:9 (May 2011), 978–983.
  

Lea Popovic

• Aldous, D., Krikun, M., Popovic, L., « Stochastic models for phylogenetic trees on higher-order taxa », Journal of Mathematical Biology, 56:4 (April 2008), 522–557.
  
• Durrett, R. T., Popovic, L., « Degenerate diffusions arising from gene duplication models », The Annals of Applied Probability, 19:1 (February 2009), 15–48.
  
• Greven, A., Popovic, L., Winter, A., « Genealogy of catalytic branching models », The Annals of Applied Probability, 19:3 (September 2009), 1232–1272.
  
• Aldous, D., Krikun, M., Popovic, L., « Five statistical questions about the tree of life », Systematic Biology, 60:3 (May 2011), 318–328.
  

James O. Ramsay

• Ramsay, J. O., Hooker, G., Graves, S., Functional Data Analysis with R and MATLAB, Use R, New York, Springer, 2009.
  

• Ramsay, J. O., « Functional data analysis », in The SAGE Handbook of Quantitative Methods in Psychology, R. E. Millsap, A. Maydeu-Olivares, ed., Los Angeles, CA, SAGE Publ., 2009.
  
• Ramsay, J. O., « Curve registration », in The Oxford Handbook of Functional Data Analysis, F. Ferraty, Y. Romain, ed., Oxford, Oxford Univ. Press, 2010.
  

• Levitin, D., Nuzzo, R. L., Vines, B. W., Ramsay, J. O., « Introduction to functional data analysis », Canadian Psychology, 48:3 (August 2007), 135–155.
  
• Cao, J., Ramsay, J. O., « Parameter cascades and profiling in functional data analysis », Computational Statistics, 22:3 (September 2007), 335–351.
  
• Koulis, T., Ramsay, J. O., Levitin, D., « From zero to sixty: calibrating real-time responses  », Psychometrika, 73:2 (September 2007), 321–339.
  
• Koulis, T., Ramsay, J. O., Levitin, D. J., « From zero to sixty: calibrating real-time responses », Psychometrika, 73:2 (September 2007), 321–339.
  
• Ramsay, J. O., Hooker, G., Campbell, D., Cao, J., « Parameter estimation for differential equations: A generalized smoothing approach », Journal of the Royal Statistical Society. Series B. Statistical Methodology, 69:5 (November 2007), 741–796.
  
• Cao, J., Fussman, G., Ramsay, J. O., « Estimating a predator-prey dynamical model with the parameter cascade method », Biometrics, 64:3 (September 2008), 959–967.
  
• Kneip, A., Ramsay, J. O., « Combining registration and fitting for functional models », Journal of the American Statistical Association, 103:483 (September 2008), 1155–1165.
  
• Varziri, M. S., Poyton, A. A., McLellan, P. J., Ramsay, J. O., « Selecting optimal weighting factors in iPDA for parameter estimation in continuous-time dynamic models  », Computers & Chemical Engineering, 32:12 (December 2008), 3011–3022.
  
• Cao, J., Ramsay, J. O., « Generalized profiling estimation for global and adaptive penalized spline smoothing  », Computational Statistics & Data Analysis, 53:7 (May 2009), 2550–2562.
  
• Cao, J., Ramsay, J. O., « Linear mixed-effects modeling by parameter cascading  », Journal of the American Statistical Association, 105:489 (March 2010), 365–374.
  
• Ramsay, J. O., Wainer, H., « Inside-out plots », Chance, 23:3 (September 2010), 57–62.
  

Bruno Rémillard

• Papageorgiou, N., Rémillard, B., Gardère, J.-L., « Copula-based credit rating model for evaluating basket credit derivatives », in The Handbook of Credit Portfolio Management, G. N. Gregoriou, C. Hoppe, ed., New York, McGraw-Hill, 2009.
  
• Rémillard, B., « Tests of independence », in International Encyclopedia of Statistical Science, M. Lovric, eds., Berlin, Springer, 2011.
  

• Genest, C., Quessy, J.-F., Rémillard, B., « Asymptotic local efficiency of Cramér–von Mises tests for multivariate independence », The Annals of Statistics, 35:1 (2007), 166–191.
  
• Laroche, P., Rémillard, B., « Hedge fund returns' weighted-symmetry and the Omega© performance measure », AIMA Journal, 77 (2007), 20–22.
  
• Renaud, J.-F., Rémillard, B., « Explicit martingale representations for Brownian functionals and applications to option hedging », Stochastic Analysis and Applications, 25:4 (2007), 801–820.
  
• Genest, C., Ghoudi, K., Rémillard, B., « Rank-based extensions of the Brock, Dechert, and Scheinkman test », Journal of the American Statistical Association, 102:480 (December 2007), 1363–1376.
  
• Hocquard, A., Papageorgiou, N., Rémillard, B., « Optimal hedging strategies with an application to hedge fund replication », Willmott Magazine, 11 (2008), 62–66.
  
• Papageorgiou, N., Rémillard, B., Hocquard, A., « Replicating the properties of hedge fund returns », The Journal of Alternative Investments, 11:2 (2008), 8–39.
  
• Gentil, I., Rémillard, B., « Using systematic sampling selection for Monte Carlo solutions of Feynman-Kac equations », Advances in Applied Probability, 40:2 (June 2008), 454–472.
  
• Genest, C., Rémillard, B., « Validity of the parametric bootstrap for goodness-of-fit testing in semiparametric models », Annales de l'Institut Henri Poincaré. Probabilités et statistiques, 44:6 (December 2008), 1096–1127.
  
• Rémillard, B., Scaillet, O., « Testing for equality between two copulas », Journal of Multivariate Analysis, 100:3 (March 2009), 377–386.
  
• Genest, C., Rémillard, B., Beaudoin, D., « Goodness-of-fit tests for copulas: A review and a power study », Insurance: Mathematics & Economics, 44:2 (April 2009), 199–213.
  
• Dupuis, D. J., Jacquier, E., Papageorgiou, N., Rémillard, B., « Empirical evidence on the dependence of credit default swaps and equity prices », Journal of Futures Markets, 29:8 (August 2009), 695–796.
  
• Rémillard, B., « Discussion of: Brownian distance covariance », The Annals of Applied Statistics, 3:4 (December 2009), 1295–1298.
  
• Del Moral, P., Hu, P., Oudjane, N., Rémillard, B., « On the robustness of the snell envelope », SIAM Journal on Financial Mathematics, 2 (2011), 587–626.
  
• Gagnon, M., Laroche, P., Rémillard, B., « The value of liquidity from the hedge fund portfolio manager’s perspective », The Journal of Alternative Investments, 13:4 (2011), 30–39.
  
• Labbé, C., Rémillard, B., Renaud, J.-F., « A simple discretization scheme for nonnegative diffusion processes with applications to option pricing », Journal of Computational Finance, 15:2 (2011/2012).
  

• Rémillard, B., Hocquard, A., Langlois, H., Papageorgiou, N., « Optimal hedging of American options in discrete time », in Numerical Methods in Finance, Numerical Methods in Finance (Bordeaux, 2010), R. Carmona, P. Del Moral, P. Hu, N. Oudjane, eds., Springer Proceedings in Mathematics, Berlin, Springer, 2012, accepted.
  
• Del Moral, P., Rémillard, B., Rubenthale, S., « Monte Carlo approximations of American options that preserve monotonicity and convexity », in Numerical Methods in Finance, Numerical Methods in Finance (Bordeaux, 2010), R. Carmona, P. Del Moral, P. Hu, N. Oudjane, eds., Springer Proceedings in Mathematics, Berlin, Springer, 2012, accepted.
  

• Duchesne, P., Ghoudi, K., Rémillard, B., « On testing for independence between several time series », SSRN, April 2011, 32 p.
  

Jean-François Renaud

• Renaud, J.-F., Rémillard, B., « Explicit martingale representations for Brownian functionals and applications to option hedging », Stochastic Analysis and Applications, 25:4 (2007), 801–820.
  
• Labbé, C., Rémillard, B., Renaud, J.-F., « A simple discretization scheme for nonnegative diffusion processes with applications to option pricing », Journal of Computational Finance, 15:2 (2011/2012).
  

Louis-Paul Rivest

• Baillargeon, S., Rivest, L.-P., « Intégration de deux sources de données dans les inventaires forestiers du Québec », in Méthodes de sondage , A. Ruiz-Gazen, P. Guilbert, D. Haziza, Y. Tillé, eds., Sciences Sup, Paris, Dunod, 2008.
  
• Beaumont, J.-F., Rivest, L.-P., « Dealing with outliers in survey data », in Sample Surveys: Design, Methods and Applications, D. Pfefferman, C. R. Rao, ed., Handbook of Statistics, Amsterdam, Elsevier, 2009.
  
• Rivest, L.-P., « Ajustement de modèles multi-niveaux à des données d’enquête », in Pratiques et méthodes de sondage, M.-E. Trembl;ay, P. Lavallée, M. El haj Tirari, eds., Sciences Sup, Paris, Dunod, 2011.
  

• Saïd, M., Ghazzali, N., Rivest, L.-P., « Score tests for independence in parametric competing risks models », Test, 16:3 (2007), 547–564.
  
• Baillargeon, S., Rivest, L.-P., « Rcapture: Loglinear Models for Capture-Recapture in R », Journal of Statistical Software 19:5 (April 2007).
  
• Sutherland, J., Schwarz, C., Rivest, L.-P., « Multilist population estimation with incomplete and partial stratification », Biometrics, 63:3 (September 2007), 910–916.
  
• Rivest, L.-P., Baillargeon, S., « Applications and extensions of Chao's moment estimator for the size of a closed population », Biometrics, 63:4 (December 2007), 999–1006.
  
• Lakhal-Chaieb, L., Rivest, L.-P., Abdous, B., « Estimating survival and association in a semicompeting risk model », Biometrics, 64:1 (2008), 180–188.
  
• Lakhal Chaieb, L., Rivest, L.-P., Abdous, B., « Estimating survival and association in a semicompeting risks model », Biometrics, 64:1 (March 2008), 180–188.
  
• Rivest, L.-P., « Why a time effect often has a limited impact on capture–recapture estimates in closed populations », The Canadian Journal of Statistics / La revue canadienne de statistique, 36:1 (March 2008), 75–84.
  
• Bousquet, N., Duchesne, T., Rivest, L.-P., « Redefining the maximum sustainable yield for the Schaefer population model including multiplicative environmental noise », Journal of Theoretical Biology, 254:1 (September 2008), 65–75.
  
• Rivest, L.-P., Baillargeon, S., Pierrynowski, M., « A directional model for the estimation of the rotation axes of the ankle joint », Journal of the American Statistical Association, 103:483 (September 2008), 1060–1069.
  
• Lakhal Chaieb, L., Rivest, L.-P., Beaudoin, D., « IPCW estimator for Kendall's tau under bivariate censoring », The International Journal of Biostatistics, 5:1
  (2009), 8, 22 pages.
  
• Oualkacha, K., Rivest, L.-P., « A new statistical model for random unit vectors », Journal of Multivariate Analysis, 100:1 (January 2009), 70–80.
  
• Baillargeon, S., Rivest, L.-P., « A general algorithm for univariate stratification », International Statistical Review / Revue internationale de statistique, 77:3 (December 2009), 331–344.
  
• Saïd, M., Ghazzali, N., Rivest, L.-P., « Score tests for independence in semiparametric competing risks models  », Lifetime Data Analysis, 15:4 (December 2009), 413–440.
  
• Bernier, P., Daigle, G., Rivest, L.-P., Ung, C.-H., Labbé, F., Bergeron, C., Patry, A., « From plots to landscape: A $k$-NN-based method for estimating stand-level merchantable volume in the Province of Québec, Canada », The Forestry Chronicle, 86:4 (2010), 461–468.
  
• Bousquet, N., Cadigan, N., Duchesne, T., Rivest, L.-P., « Detecting and correcting underreported catches in fish stock assessment: trial of a new method », Canadian Journal of Fisheries and Aquatic Sciences, 67:8 (July 2010), 1247–1261.
  
• Haddou, M., Rivest, L.-P., Pierrynowski, M., « A nonlinear mixed effects directional model for the estimation of the rotation axes of the human ankle », The Annals of Applied Statistics 4:4 (December 2010), 1892–1912.
  
• Rivest, L.-P., « A lower bound estimator model for multiple record systems estimation with heterogeneous catchability », The International Journal of Biostatistics, 7:1 (2011), Article 23, 21 pages.
  
• Baillargeon, S., Rivest, L.-P., « The construction of stratified designs in R with the package stratification », Survey Methodology / Techniques d'enquête, 37:1 (June 2011), 53–65.
  
• Genest, C., Nikoloulopoulos, A., Rivest, L.-P., Fortin, M., « Predicting dependent binary outcomes through logistic regressions and meta-elliptical copulas », Brazilian Journal of Probability and Statistics, 26 (XXXX), accepted.
  

• Genest, C., Rivest, L.-P., « Comment compter les cerfs ? », Accromath, 3:2 (2008), 2–7.
  
• Duchesne, T., Rivest, L.-P., « Probabilités, statistique et population de poissons », Accromath, 6:2 (2011), 14–18.
  
• Rivest, L.-P., Bernier, P., « Aspects statistiques de la gestion forestière », Accromath, 6:1 (2011), 22–27.
  

• Rivest, L.-P., Baillargeon, S., « Intégration de deux sources de données dans les inventaires forestiers du Québec », in Méthodes de sondage : Enquêtes électorales - Enquêtes dans le domaine de la santé - Enquêtes dans les pays en développement - Cours et cas pratiques - Master, écoles d'ingénieurs, P. Guilbert, D. Haziza, A. Ruiz-Gazen, Y. Tillé, eds., Dunod, 2008, 344–348.
  

Arusharka Sen

• Chaubey, Y. P., Sen, A., Sen, P. K., « Smooth function estimation for censored data », in Encyclopedia of Statistics in Quality and Reliability, F. Ruggeri, R. S. Kennet, F. W. Faltin, eds., Chichester, Wiley, 2007.
  
• Chaubey, Y. P., Sen, A., « Smooth estimation of mean residual life under random censoring », in Beyond Parametrics in Interdisciplinary Research: Festschrift in Honor of Professor Pranab K. Sen, N. Balakrishnan, E. A. Peña, M. J. Silvapulle, eds., IMS Collections, Beachwood, OH, Inst. Math. Stat., 2008.
  

• Chaubey, Y. P., Laib, N., Sen, A., « Generalised kernel smoothing for non-negative stationary ergodic processes », Journal of Nonparametric Statistics, 22:8 (November 2010), 973–997.
  

• Chaubey, Y. P., Sen, A., Sen, P. K., « A new smooth density estimator for non-negative random variables », Dept of Math. & Stat., Concordia University, 01/07, January 2007, 23 p.
  

Russell Steele

• Baron, M., Bell, M., Bookman, A., Buchignani, M., Dunne, J., Hudson, M., Jerome, D., Johnson, S. R., Jones, N., Kamiska, E., Lupton, T., Mathieu, J.-P., Pope, J., Steele, R., Taillefer, S., « Office capillaroscopy in systemic sclerosis », Clinical Rheumatology, 26:8 (August 2007), 1268–1274.
  
• Lefebvre, G., Steele, R., Vandal, A. C., « A path sampling identity for computing the Kullback–Leibler and J divergences », Computational Statistics & Data Analysis, 54:7 (July 2010), 1719–1731.
  

David A. Stephens

• Stewart, C. E., Stephens, D. A., Fielder, A. R., Moseley, M. J., « Modeling dose-response in amblyopia: toward a child-specific treatment plan », Investigative Ophthalmology and Visual Science, 48:6 (June 2007), 2589–2594.
  
• Moodie, E. E. M., Richardson, T. S., Stephens, D. A., « Demystifying optimal dynamic treatment regimes », Biometrics, 63:2 (June 2007), 447–455.
  
• Shiels, C., Adams, N. M., Islam, S. A., Stephens, D. A., Freemont, P. S., « Quantitative analysis of cell nucleus organisation », PLoS Computational Biology, 3:7 (July 2007), e138, 8 pages.
  
• Gander, M. P. S., Stephens, D. A., « Simulation and inference for stochastic volatility models driven by Lévy processes », Biometrika, 94:3 (August 2007), 627–646.
  
• Jasra, A., Stephens, D. A., Holmes, C. C., « On population-based simulation for static inference », Statistics and Computing, 17:3 (September 2007), 263–279.
  
• Gander, M. P. S., Stephens, D. A., « Stochastic volatility modelling with general marginal distributions: Inference, prediction and model selection for option pricing », Journal of Statistical Planning and Inference, 137:10 (October 2007), 3068–3081.
  
• Stewart, C. E., Stephens, D. A., Fielder, A. R., Moseley, M. J., « Objectively monitored patching regimens for amblyopia treatment: randomised trial », BMJ (Clinical Research Ed.), 335:7622 (October 2007), 707, 7 pages.
  
• Jasra, A., Stephens, D. A., Holmes, C. C., « Population-based reversible jump Markov chain Monte Carlo », Biometrika, 94:4 (December 2007), 787–807.
  
• Jasra, A., Doucet, A., Stephens, D. A., Holmes, C. C., « Interacting sequential Monte Carlo samplers for trans-dimensional simulation », Computational Statistics & Data Analysis, 52:4 (January 2008), 1765–1791.
  
• Graham, D. J., Stephens, D. A., « Decomposing the impact of deprivation on child pedestrian casualties in England », Accident Analysis & Prevention, 40:4 (July 2008), 1351–1364.
  
• Russell, R. A., Adams, N. M., Stephens, D. A., Batty, E., Jensen, K., Freemont, P. S., « Segmentation of fluorescence microscopy images for quantitative analysis of cell nuclear architecture », Biophysical Journal, 96:8 (April 2009), 3379–3389.
  
• Metcalf, C. J. E., Stephens, D. A., Rees, M., Louda, S. M., Keeler, K. H., « Using Bayesian inference to understand the allocation of resources between sexual and asexual reproduction », Journal of the Royal Statistical Society. Series C. Applied Statistics, 58:2 (May 2009), 143–170.
  
• Ertefaie, A., Stephens, D. A., « Comparing approaches to causal inference for longitudinal data: inverse probability weighting versus propensity scores », The International Journal of Biostatistics, 6:2 (2010), Art 14, 24 pages.
  
• Rich, B., Moodie, E. E. M., Stephens, D. A., Platt, R. W., « Model checking with residuals for g-estimation of optimal dynamic treatment regimes », The International Journal of Biostatistics, 6:2 (January 2010), Art. 12, 24 pages.
  
• Sagoo, P., Perucha, E., Sawitzki, B., Tomiuk, S., Stephens, D. A., Miqueu, P., Chapman, S., Craciun, L., Sergeant, R., Brouard, S., Rovis, F., Jimenez, E., Ballow, A., Giral, M., Rebollo-Mesa, I., Le Moine, A., Braudeau, C., Hilton, R., Gerstmayer, B., Bourcier, K., Sharif, A., Krajewska, M., Lord, G. M., Roberts, I., Goldman, M., Wood, K. J., Newell, K., Seyfert-Margolis, V., Warrens, A. N., Janssen, U., Volk, H.-D., Solillou, J.-P., Hernandez-Fuentes, M. P., Lechler, R. I., « Development of a cross-platform biomarker signature to detect renal transplant tolerance in humans », The Journal of Clinical Investigation, 120:6 (June 2010), 1848–1861.
  
• Yip, W. Y., Stephens, D. A., Olhede, S. C., « The explicit chaotic representation of the powers of increments of Lévy processes », Stochastics, 82:1-3 (June 2010), 257–290.
  
• Yip, W. Y., Stephens, D. A., Olhede, S. C., « Hedging strategies and minimal variance portfolios for European and exotic options in a Lévy market », Mathematical Finance, 20:4 (October 2010), 617–646.
  
• Moodie, E. E. M., Stephens, D. A., « Using directed acyclic graphs to detect limitations of traditional regression in longitudinal studies », International Journal of Public Health, 55:6 (December 2010), 701–703.
  
• Brenner, B., Roger, M., Stephens, D. A., Moisi, D., Hardy, I., Weinberg, J., Turgel, R., Charest, H., Koopman, J. S., Wainberg, M. A., « Transmission clustering drives the onward spread of the HIV epidemic among men who have sex with men in Quebec », Journal of Infectious Diseases, 204:7 (2011), 1115–1119.
  
• Moodie, E. E. M., Stephens, D. A., « Marginal structural models: unbiased estimation for longitudinal studies », International Journal of Public Health, 56:1 (February 2011), 117–119.
  
• Jasra, A., Stephens, D. A., Doucet, A., Tsagaris, T., « Inference for Lévy-driven stochastic volatility models via adaptive sequential Monte Carlo », Scandinavian Journal of Statistics. Theory and Applications, 38:1 (March 2011), 1–22.
  
• Moodie, E. E. M., Stephens, D. A., « Estimation of dose-response functions for longitudinal data using the generalized propensity score », Statistical Methods in Medical Research, 21:2 (April 2012), 149–166.
  

David B. Wolfson

• Beckage, B., Joseph, L., Bélisle, P., Wolfson, D. B., Platt, W. J., « Bayesian change-point analyses in ecology », New Phytologist, 174:2 (April 2007), 456–467.
  
• M'Lan, C. E., Joseph, L., Wolfson, D. B., « Bayesian sample size determination for binomial proportions », Bayesian Analysis, 3:2 (2008), 269–296.
  
• Bergeron, P.-J., Asgharian, M., Wolfson, D. B., « Covariate bias induced by length-biased sampling of failure times », Journal of the American Statistical Association, 103:482 (June 2008), 737–742.
  
• Addona, V., Asgharian, M., Wolfson, D. B., « On the incidence-prevalence relation and length-biased sampling », The Canadian Journal of Statistics / La revue canadienne de statistique 37:2 (June 2009), 206–218.
  
• Atherton, J., Charbonneau, B., Wolfson, D. B., Joseph, L., Zhou, X., Vandal, A. C., « Bayesian optimal design for changepoint problems », The Canadian Journal of Statistics / La revue canadienne de statistique, 37:4 (December 2009), 495–513.