Recent publications (since 2010)

Belkacem Abdous

Book chapters:
  • Abdous, B., Berlinet, A., « Reproducing kernel hilbert spaces and local polynomial estimation of smooth functionals », in Progress in Analysis and its Applications, Michael Ruzhansky, Jens Wirth, ed., World Scientific Monograph Series in Mathematics, World Sci. Publ., 2010.
Peer-reviewed journal articles:
  • Bélanger, D., Gosselin, P., Valois, P., Abdous, B., « Neighbourhood and dwelling characteristics associated with the self-reported adverse health effects of heat in most deprived urban areas: A cross-sectional study in 9 cities », Health & Place, 32 (March 2015), 8–18.
  • Drescher, O., Dewailly, E., Diorio, C., Ouellet, N., Laouan-Sidi, E. A., Abdous, B., Valera, B., Ayotte, P., « Methylmercury exposure, PON1 gene variants and serum paraoxonassesactivity in Eastern James Bay Cree adults », Journal of Exposure Science and Environmental Epidemiology 24:6 (November 2014), 608–614.
  • Bélanger, D., Gosselin, P., Valois, P., Abdous, B., « Perceived Adverse Health effets of heat and their determinants in deprived neighbourhoods: a cross-sectional survey of nine cities in Canada », International Journal of Enviromental Research and Public Health, 11 (October 2014), 11028–11053.
  • Riva, M., Plusquellec, P., Juster, R.-P., Laouan-Sidi, E. A., Abdous, B., Lucas, M., Dery, S., Dewailly, E., « Household crowding is associated with higher allostatic load among the Inuit », Journal of Epidemiology & Community Health 68:4 (August 2014), 363–369.
  • Canuel, M., Abdous, B., Bélanger, D., Gosselin, P., « Development of composite indices to measure the adoption of pro-environmental behaviours across canadian provinces », PLoS One, 9:7 (July 2014), e101569, 14 p.
  • Nkogho Mengue, P.-G., Abdous, B., Berbiche, D., Préville, M., Voyer, P., « La dépendance aux benzodiazépines et le risque de troubles anxieux et de dépression: étude sur la santé des aînés », L'Encéphale, 40:3 (June 2014), 216–222.
  • 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, 14:2 (January 2014), 11 p.
  • Ngueta, G., Prevost, M., Deshommes, E., Abdous, B., Gauvin, D., Levallois, P., « Exposure of young children to household water lead in the Montreal area (Canada): The potential influence of winter-to-summer in water lead levels on children’s blood lead concnetration  », Environment International, 73 (2014), 57–65.
  • 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 (September 2013), 439–452.
  • Nkogho Mengue, P.-G., Abdous, B., Berbiche, D., Préville, M., Voyer, P., « Impact de la dépendence aux benzodiazépines sur l’utilisation des services de santé: étude sur la santé des aînés », Gériatrie et Psychologie Neuropsychiatrie du Vieillissement, 11:3 (September 2013), 229–236.
  • Nkogho Mengue, P.-G., Abdous, B., Berbiche, D., Préville, M., Voyer, P., « Dépendance aux benzodiazépines et risque de troubles anxieux et de dépression : Étude sur la santé des aînés », Encephale (June 2013).
  • Nkogho Mengue, P.-G., Abdous, B., Berbiche, D., Préville, M., Voyer, P., « Impact du sentiment de dépendance aux benzodiazépines sur l’utilisation des services de santé: étude sur la santé des aînés », The Canadian Journal of Aging / La Revue canadienne du vieillissement, 32:1 (March 2013), 21–30.
  • Rudkowska, I., Dewailly, E., Hegele, R. A., Boiteau, V., Dubé-Linteau, A., Abdous, B., Giguere, Y., Chateau-Degat, M.-L., Vohl, M.-C., « Gene-diet interactions on plasma lipid levels in the Inuit population », British Journal of Nutrition, 109:5 (March 2013), 953–961.
  • Rudkowska, I., Ouellette, C., Dewailly, E., Hegele, R. A., Boiteau, V., Dubé-Linteau, A., Abdous, B., Proust, F., Giguere, Y., Julien, P.-O., Château-Degat, M.-L., Vohl, M.-C., « Omega-3 fatty acids, polymorphisms and lipid related cardiovascular disease risk factors in the Inuit population  », Nutrition & Metabolism, 10:26 (March 2013), 9 p.
  • 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 (February 2013), 239–245.
  • Ngueta, G., Abdous, B., Prevost, M., Levallois, P., Gauvin, D., « Household water lead level in Montreal area (Canada) predictive factors and seasonal chnage », Revue d'épidémiologie et de santé publique, 60:S2 (September 2012), S109–S110.
  • Abdous, B., Kokonendji, C., Senga Kiessé, T., « On semiparametric regression for count explanatory variables », Journal of Statistical Planning and Inference, 142:6 (June 2012), 1537–1548.
  • Lapointe, J., Abdous, B., Camden, S., Bouchard, K., Goldgar, D., Simard, J., Dorval, M., « Influence of the family cluster effect on psychosocial variables in families undergoing BRCA1/2 genetic testing for cancer susceptibility », Psycho-Oncology/Journal of the Psychological, Social and Behavioral Dimensions of Cancer, 21:5 (May 2012), 515–523.
  • Fraser, S. L., Muckle, G., Abdous, B., Jacobson, J. L., Jacobson, S. W., « Effects of binge drinking on infant growth and development in an Inuit sample  », Alcohol, 46:3 (May 2012), 277–283.
  • Lapointe, J., Abdous, B., Camden, S., Bouchard, K., Goldgar, D., Simard, J., Dorval, M., « Influence of the family cluster effect on psychosocial variables in families undergoing BRCA1/2 genetic testing for cancer susceptibility », Psycho-Oncology, 21:5 (May 2012), 515–523.
  • Himaya, E., Rhalmi, N., Girard, M., Tétu, A., Desgagné, J., Abdous, B., Gekas, J., Giguere, Y., Bujold, E., « Midtrimester intra-amniotic sludge and the risk of spotaneous preterm birth  », American Journal of Perinatology 28:10 (December 2011), 815–820.
  • Château-Degat, M.-L., Dannenbaum, D. A., Egeland, G. M., Nieboer, E., Laouan-Sidi, E. A., Abdous, B., Dewailly, E., « A comparison of the metabolic response to abdominal obesity in two canadian inuit and first nations population », Obesity, 19:11 (November 2011), 2254–2260.
  • St-Onge, C., Valois, P., Abdous, B., Germain, S., « Accuracy of person-fit statistics: a Monte Carlo study of the influence of aberrance rates », Applied Psychological Measurement, 35:6 (September 2011), 419–432.
  • Chateau-Degat, M.-L., Laouan-Sidi, E. A., Abdous, B., Dewailly, E., Counil, É., Lamarche, B., Ferland, A., « Dairy product intake and its association with body weight and cardiovascular disease risk factors in a population in dietary transition  », Journal of the American College of Nutrition, 30:2 (July 2011), 92–99.
  • Mahajan, U., Banandur, P., Rajaram, S., Duchesne, T., Abdous, B., Ramesh, B. M., Moses, S., Alary, M., « Determinants of time trends in HIV prevalence in the young antenatal population of Karnataka districts », Sexually Transmitted Infections, 87:1 (July 2011), A51.
  • Thamattoor, U., Thomas, T., Banandur, P., Potty, R. S., Duchesne, T., Abdous, B., Washington, R., Ramesh, B. M., Moses, S., Alary, M., « Multi-level analysis of the predictors of HIV prevalence among pregnant women enrolled in sentinel surveillance in four southern India states  », Sexually Transmitted Infections 87:1 (July 2011), A182.
  • Aboa-Éboulé, C., Brisson, C., Blanchette, C., Maunsell, E., Bourbonnais, R., Abdous, B., Vézina, M., Milot, A., Dagenais, G. R., « Effort-reward imbalance at work and psychological distess: a validation study of post-myocardial infarction patients », Psychosomatic Medicine, 73:6 (June 2011), 448–455.
  • Ayotte, P., Carrier, A., Ouellet, N., Boiteau, V., Abdous, B., Laouan-Sidi, E. A., Château-Degat, M.-L., Dewailly, E., « Relation between methylmercury exposure and plasma paraoxonase activity in inuit adults from Nunavik », Environmental Health Perspectives, 119:8 (May 2011), 1077–1083.
  • Valois, P., Houssemand, C., Germain, S., Abdous, B., « An open source tool to verify the psychometric properties of an evaluation instrument », Procedia- Social and Behavioral Sciences, 15, 3rd World Conference on educational Sciences - 2011 (2011), 552–556.
  • Ouhoummane, N., Abdous, B., Louchini, R., Rochette, L., Poirier, P., « Trends in postacute myocardial infarction management and mortality in patients with diabetes. A population-based study from 1995 to 2001 », The Canadian Journal of Cardiology, 26:10 (December 2010), 523–531.
  • Lucas, M., Ferland, A., Dery, S., Abdous, B., Dewailly, E., Proust, F., Blanchet, C., « Is marine mammal fat or fish intake most strongly associated with omega-3 bllod levels amog the Nunavik inuit? », Prostaglandins, Leukotrienes and Essential Fatty Acids, 83:3 (September 2010), 143–150.
  • Bujold, E., Goyet, M., Marcoux, S., Brassard, N., Cormier, B., Hamilton, E., Abdous, B., Laouan-Sidi, E. A., Kinch, R., Miner, L., Masse, A., Fortin, C., Gagné, G.-P., Fortier, A., Bastien, G., Sabbah, R., Guimond, P., Roberge, S., Gauthier, R. J., « The role of uterine closure in the risk of uterine rupture », Obstetrics and gynecology, 116:1 (July 2010), 43–50.
  • Moore, L., Lavoie, A., Turgeon, A., Abdous, B., Le Sage, N., Émond, M., Liberman, M., Bergeron, É., « Improving trauma mortality prediction modeling for blunt trauma », The Journal of Trauma and Acurate Care Surgery 68:3 (March 2010), 698–705.
Jean-François Angers

Peer-reviewed journal articles:
  • Akpoué, B. P., Angers, J.-F., « Some contributions on the multivariate Poisson–Skellam probability distribution », Communications in Statistics. Theory and Methods (XXXX), accepted.
  • Angers, J.-F., Biswas, A., Maiti, R., « Bayesian forecasting for time series of categorical data », Journal of Forecasting (XXXX), accepted.
  • Angers, J.-F., Biswas, A., Hwang, J.-S., « Wavelet-based Bayesian nonlinear regression for the air pollution effects on clinic visits in small areas of Taiwan », Communications in Statistics. Simulation and Computation (XXXX), accepted.
  • Jalbert, J., Favre, A.-C., Bélisle, C., Angers, J.-F., « A spatiotemporal model for extreme precipitation simulated by a climate model, with an application to assessing changes in return levels over North America », Journal of the Royal Statistical Society. Series C. Applied Statistics (January 2017).
  • Jalbert, J., Favre, A.-C., Bélisle, C., Angers, J.-F., Paquin, D., « Canadian RCM projected transient changes to precipitation occurrence, intenisty and return level over North America », Journal of Climate, 28:17 (September 2015), 6920–6937.
  • Biswas, A., Hwang, J.-S., Angers, J.-F., « Air pollution effects on clinic visits in small areas of Taiwan revisited », Envrionmental and Ecological Statistics, 22:1 (March 2015), 17–32.
  • Angers, J.-F., MacGibbon, B., « Hazard function estimation with nonnegative “wavelets” », Statistics & Probability Letters, 83:4 (April 2013), 969–978.
  • 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.
Research reports:
  • Akpoué, B. P., Angers, J.-F., « Modélisation bayésienne des niches écologiques », Centre de recherches mathématiques, CRM-3316, September 2011, 42 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.
  • 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.
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, Jerald F. Lawless, eds., CRC Press, Taylor & Francis Group, 2014.
Peer-reviewed journal articles:
  • Ertefaie, A., Asgharian, M., Stephens, D. A., « Double bias: Estimation of causual effects from length-biased samples in the presence of confounding », The International Journal of Biostatistics, 11:1 (May 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.
  • 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 (March 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 (March 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 (October 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 (June 2013), 2278–2291.
  • Carone, M., Asgharian, M., Wang, M.-C., « Nonparametric incidence estimation from prevalent cohort survival data », Biometrika, 99:3 (July 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.
  • Khodabakhshi, M., Asgharian, M., Gregoriou, G., « An input-oriented super-efficiency measure in stochastic data envelopment analysis: Evaluating chief executive officers of US public banks and thrifts », Expert Sytems with Applications, 37:3 (March 2010), 2092–2097.
  • Noorbaloochi, S., Nelson, D., Asgharian, M., « Balancing and Elimination of Nuisance variables », The International Journal of Biostatistics, 6:2, Art.6 (February 2010), 22 p.
Juli Kirstin Atherton

Peer-reviewed journal articles:
  • Talbot, D., Atherton, J., Rossi, A., Bacon, S., Lefebvre, G., « A cautionary note concerning the use of stabilized weights in marginal structural models », Statistics in Medicine, 34:5 (February 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 (October 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 (February 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 (January 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 (August 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 (July 2012), 18 p.
  • Manges, A. R., Labbe, A., Loo, V. G., Atherton, J., Behr, M. A., Masson, L., Tellis, P. A., Brousseau, R., « Comparative metagenomic study of alterations to the intestinal microbiota and risk of nosocomial clostridum difficile-associated diease », The Journal of Infectious Diseases, 202:12 (December 2010), 1877–1884.
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 (October 2012), 776–785.
Mylène Bédard

Peer-reviewed journal articles:
  • Bédard, M., Douc, R., Moulines, E., « Scaling analysis of delayed rejection MCMC methods », Methodology & Computing in Applied Probability, 16:4 (December 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 (December 2013), 657–678.
  • Bédard, M., Douc, R., Moulines, E., « Scaling analysis of multiple-try MCMC methods », Stochastic Processes and their Applications, 122:3 (March 2012), 758–786.
Yoshua Bengio

Book chapters:
  • Bengio, Y., Courville, A., « Deep learning of representations », in Handbook on Neural Information Processing, M. Bianchini, M. Maggini, L. C. Jain, eds., 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, eds., 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, eds., Lecture Notes in Computer Science, Vol. 7700, Berlin, Springer, 2012.
  • Le Roux, N., Bengio, Y., Fitzgibbon, A., « Improving first and second-order methods by modeling uncertainty  », in Optimization for Machine Learning, S. Sra, S. Nowozin, S. J. Wright, eds., Neural Information Processing, Cambridge, MA, The MIT Press, 2011.
Peer-reviewed journal articles:
  • Zhang, X.-Y., Bengio, Y., Liu, C.-L., « Online and offline handwritten Chinese character recognition: A comprehensive study and new benchmark », Pattern Recognition, 61 (January 2017), 348–360.
  • Alain, G., Bengio, Y., Yao, L., Yosinski, J., Thibodeau-Laufer, E., Zhang, S., Vincent, P., « GSNs: Generative stochastic networks », Information and Inference, 5:2 (June 2016), 210–249.
  • Kahou, S. E., Bouthillier, X., Lamblin, P., Gülçehre, Ç., Michalski, V., Konda, K. R., Jean, S., Froumenty, P., Mirza, M., Warde-Farley, D., Courville, A., Vincent, P., Memisevic, R., Pal, C., Bengio, Y., Dauphin, Y., Boulanger-Lewandowski, N., Chandias Ferrari, R., « EmoNets: Multimodal deep learning approaches for emotion recognition in video », Journal on Multimodal User Interfaces, 10:2 (June 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 (May 2016), 1240–1251.
  • Gülçehre, Ç., Bengio, Y., « Knowledge matters: Importance of prior information for optimization », Journal of Machine Learning Research, 17 (2016), Article 8, 32 p.
  • Gülçehre, Ç., Bengio, Y., « Knowledge matters: Importance of prior information for optimization », Journal of Machine Learning Research, 17:8 (2016), 1–32.
  • 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 (November 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 (April 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 (February 2014), 233–259.
  • Mesnil, G., Bordes, A., Weston, J., Chechik, G., Bengio, Y., « Learrning semantic representations of objects and their parts  », Machine Learning, 94:2, Special Issue on Learning Semantics (February 2014), 281–301.
  • 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 (August 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 (August 2013), 1798–1828.
  • Martinez, H., Bengio, Y., Yannakakis, G. N., « Learning deep physiological models of affect », IEEE Computational Intelligence Magazine, 8:2 (May 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 (September 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 (May 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 (March 2012), 643–669.
  • Bergstra, J., Bengio, Y., « Random search for hyper-parameter optimization », Journal of Machine Learning Research, 13 (February 2012), 281–305.
  • Mandel, M., Pascanu, R., Eck, D., Bengio, Y., Aiello, L. M., Schifanella, R., Menczer, F., « Contextual tag inference », ACM Transaction on Multimedia Computing, Communications and Applications, 7S:1 (October 2011), Article 32, 18 p.
  • Breuleux, O., Bengio, Y., Vincent, P., « Quickly generating representative samples from an RBM-derived process », Neural Computation, 23:8 (August 2011), 2058–2073.
  • Bergstra, J., Bengio, Y., Louradour, J., « Suitability of V1 energy models for object classification », Neural Computation, 23:3 (March 2011), 774–790.
  • Bergstra, J., Bengio, Y., Louradour, J., « Suitability of V1 energy models for object classification  », Neural Computation, 23:3 (March 2011), 774–790.
  • Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y., Manzagol, P.-A., « Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion », Journal of Machine Learning Research, 11 (December 2010), 3371–3408.
  • Bengio, Y., Delalleau, O., Simard, C., « Decision trees do not generalize to new variations », Computational Intelligence, 26:4 (November 2010), 449–467.
  • Larochelle, H., Bengio, Y., Turian, J., « Tractable multivariate binary density estimation and the restricted Boltzmann forest », Neural Computation, 22:9 (September 2010), 2285–2307.
  • Le Roux, N., Bengio, Y., « Deep belief networks are compact universal approximators », Neural Computation, 22:8 (August 2010), 2192–2207.
  • 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.
Peer-reviewed conference proceedings:
  • 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, ed., JMLR Workshop and Conference Proceedings, Vol. 48, 2016, 3059–3068.
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  • Courville, A., Eck, D., Bengio, Y., « An infinite factor model hierarchy via a noisy-or mechanism », in 23rd Annual Conference on Neural Information Processing Systems 2009, 23rd 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, Vol. 22, Red Hook, NY, Curran Associates, Inc., 2010, 405–413.
  • Bergstra, J., Bengio, Y., « Slow, decorrelated features for pretraining complex cell-like net-works », in 23rd Annual Conference on Neural Information Processing Systems 2009, 23rd 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, Vol. 22, Red Hook New York, Curran Associates, Inc., 2010, 99–107.
  • Bergstra, J., Breuleux, O., Bastien, F., Lamblin, P., Pascanu, R., Desjardins, G., Turian, J., Warde-Farley, D., Bengio, Y., « Theano: A CPU and GPU math complier in Python », in Proceedings of the 9th Python in Science Conference, 9th Python in Science Conference — SciPy 2010 (Austin, TX, 2010), S. van der Walt, J. Millman, ed., 2010, 3–10.
Research reports:
  • Gülçehre, Ç., Moczulski, M., Visin, F., Bengio, Y., « Mollifying networks », arXiv:1608.04980, August 2016.
  • Ahn, S., Choi, H., Pännamaa, T., Bengio, Y., « A neural knowledge language model », arXiv:1608.00318, August 2016.
  • Ott, J., Lin, Z., Zhang, Y., Liu, S.-C., Bengio, Y., « Recurrent neural networks with limited numerical precision », arXiv:1608.06902, August 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, July 2016.
  • Havaei, M., Guizard, N., Chapados, N., Bengio, Y., « HeMIS: Hetero-modal image segmentation », arXiv:1607.05194, July 2016.
  • Choi, H., Cho, K., Bengio, Y., « Context-dependent word representation for neural machine translation », arXiv:1607.00578, July 2016.
  • Gülçehre, Ç., Chandar, S., Cho, K., Bengio, Y., « Dynamic neural Turing machine with soft and hard addressing schemes », arXiv:1607.00036, July 2016. Deep Reinforcement Learning: Frontiers and Challenges — IJCAI 2016 (New York, 2016)
  • Wu, Y., Zhang, S., Zhang, Y., Bengio, Y., Salakhutdinov, R., « On multiplicative integration with recurrent neural networks », arXiv:1606.06630, June 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, June 2016.
  • Kim, T., Bengio, Y., « Deep directed generative models with energy-based probability estimation », arXiv:1606.03439, June 2016.
  • Sordoni, A., Bachman, P., Bengio, Y., « Iterative alternating neural attention for machine reading », arXiv:1606.02245, June 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, June 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, June 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, June 2016.
  • Chandar, S., Ahn, S., Larochelle, H., Vincent, P., Tesauro, G., Bengio, Y., « Hierarchical memory networks », arXiv:1605.07427, May 2016.
  • 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 », arXiv:1605.06069, May 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, May 2016.
  • Gülçehre, Ç., Ahn, S., Nallapati, R., Zhou, B., Bengio, Y., « Pointing the unknown words », arXiv:1603.08148, March 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, March 2016.
  • Chung, J., Cho, K., Bengio, Y., « A character-level decoder without explicit segmentation for neural machine translation », arXiv:1603.06147, March 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, February 2016.
  • Scellier, B., Bengio, Y., « Towards a biologically plausible backprop », arXiv:1602.05179, February 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, February 2016.
  • Courbariaux, M., Bengio, Y., David, J.-P., « Training deep neural networks with low precision multiplications », arXiv:1412.7024, December 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, November 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, November 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, November 2015. International Conference on Learning Representations 2016
  • Arjovsky, M., Shah, A., Bengio, Y., « Unitary evolution recurrent neural networks », arXiv:1511.06464, November 2015.
  • Bahdanau, D., Serdyuk, D., Brakel, P., Ke, N., Chorowski, J., Courville, A., Bengio, Y., « Task loss estimation for sequence prediction », arXiv:1511.06456, November 2015.
  • Yao, L., Ballas, N., Cho, K., Smith, J. R., Bengio, Y., « Empirical performance upper bounds for image and video captioning », arXiv:1511.04590, November 2015. ICLR 2016
  • Lin, Z., Courbariaux, M., Memisevic, R., Bengio, Y., « Neural networks with few multiplications », arXiv:1510.03009, October 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, October 2015.
  • Laurent, C., Pereyra, G., Brakel, P., Zhang, Y., Bengio, Y., « Batch normalized recurrent neural networks », arXiv:1510.01378, October 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, September 2015.
  • de Brébisson, A., Simon, É., Auvolat, A., Vincent, P., Bengio, Y., « Artificial neural networks applied to taxi destination prediction », arXiv:1508.00021, August 2015.
  • Serban, I. V., Sordoni, A., Bengio, Y., Courville, A., Pineau, J., « Hierarchical neural network generative models for movie dialogues », arXiv:1507.04808, July 2015.
  • Auvolat, A., Chandar, S., Vincent, P., Larochelle, H., Bengio, Y., « Clustering is efficient for approximate maximum inner product search », arXiv:1507.05910, July 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, June 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, May 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, March 2015.
  • Bengio, Y., Lee, D.-H., Bornschein, J., Mesnard, T., Lin, Z., « Towards biologically plausible deep learning », arXiv:1502.04156, February 2015.
  • Gülçehre, Ç., Moczulski, M., Bengio, Y., « ADASECANT: Robust adaptive secant method for stochastic gradient », arXiv:1412.7419 December 2014. OPT 2015
  • Hill, F., Cho, K., Jean, S., Devin, C., Bengio, Y., « Embedding word similarity with neural machine translation », arXiv:1412.6448, December 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, December 2014. ICLR 2015
  • Chung, J., Gülçehre, Ç., Cho, K., Bengio, Y., « Empirical evaluation of gated recurrent neural networks on sequence modeling », arXiv:1412.3555, December 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, December 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, October 2014. ICLR 2015
  • Hill, F., Cho, K., Jean, S., Devin, C., Bengio, Y., « Not all neural embeddings are born equal », arXiv:1410.0718, October 2014. NIPS 2014 Workshop on Learning Semantics
  • Ozair, S., Bengio, Y., « Deep directed generative autoencoders », arXiv:1410.0630, October 2014.
  • Desjardins, G., Luo, H., Courville, A., Bengio, Y., « Deep tempering », arXiv:1410.0123, October 2014.
  • Cho, K., van Merriënboer, B., Bahdanau, D., Bengio, Y., « On the properties of neural machine translation: Encoder-decoder aspproaches », arXiv:1409.1259, September 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, September 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, September 2014. ICLR 2015
  • Bengio, Y., « How auto-encoders could provide credit assignment in deep networks via target propagation », arXiv:1407.7906, July 2014.
  • Cho, K., Bengio, Y., « Exponentially increasing the capacity-to-computation ratio for conditional computation in deep learning », arXiv:1406.7362, June 2014.
  • Bornschein, J., Bengio, Y., « Reweighted wake-sleep », arXiv:1406.2751, June 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, June 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, June 2014. EMNLP 2014
  • Pascanu, R., Dauphin, Y., Ganguli, S., Bengio, Y., « On the saddle point problem for non-convex optimization », arXiv:1405.4604, May 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, August 2013.
  • Bengio, Y., Léonard, N., Courville, A., « Estimating or propagating gradients through stochastic neurons for conditional computation », arXiv:1308.3432, August 2013.
  • Bengio, Y., « Estimating or propagating gradients through stochastic neurons », arXiv:1305.2982, May 2013.
  • Delalleau, O., Courville, A., Bengio, Y., « Efficient EM training of Gaussian mixtures with missing data », arXiv:1209.0521, September 2012.
  • Desjardins, G., Courville, A., Bengio, Y., « On training deep Boltzmann machines », arXiv:1203.4416, March 2012.
  • Bordes, A., Glorot, X., Weston, J., Bengio, Y., « Towards open-text semantic parsing via multi-task learning of structured embeddings », arXiv:1107.3663, July 2011.
  • Rifai, S., Glorot, X., Bengio, Y., Vincent, P., « Adding noise to the input of a model trained with a regularized objective  », arXiv:1104:3250, April 2011, 13 p.
  • Rifai, S., Muller, X., Mesnil, G., Glorot, X., Vincent, P., Bengio, Y., « Learning invariant features through local space contraction », arXIv:1104.4153, April 2011, 17 p.
  • Rivest, F., Bengio, Y., « Adaptive drift-diffusion process to learn time intervals  », arXiv:1103.2382, March 2011, 9 p.
Martin Bilodeau

Book chapters:
  • Bilodeau, M., « Analysis of variance, multivariante (MANOVA) », in Encyclopedia of Environmetrics, Abdel H. El-Shaarawi Walter W. Piegorsch, ed., Vol. 2, Chichester, UK, Wiley, 2013.
Peer-reviewed journal articles:
  • Bilodeau, M., « Graphical lassos for meta-elliptical distributions », The Canadian Journal of Statistics / La revue canadienne de statistique, 42:2 (June 2014), 185–203.
  • Hassanzadeh, A., Bilodeau, M., « Fitting bivariate losses with phase-type distributions », Scandinavian Actuarial Journal, 2013:4 (August 2013), 241–262.
  • Guénard, G., Legendre, P., Boisclair, D., Bilodeau, M., « Multiscale codependence analysis: an integrated approach to analyze relationships across scales.
     », Ecology, 91 (October 2010), 2952–2964.
Taoufik Bouezmarni

Peer-reviewed journal articles:
  • Taamouti, A., Bouezmarni, T., El Ghouch, A., « Nonparametric estimation and inference for granger causality measures », Journal of Econometrics, 180:2 (June 2014), 251–264.
  • Noh, H., El Ghouch, A., Bouezmarni, T., « Copula-Based regression estimation and inference », Journal of the American Statistical Association, 108:502 (June 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 (April 2012), 275–287.
  • Bouezmarni, T., El Ghouch, A., Mesfioui, M., « Gamma kernel estimators for density and hazard rate of right-censored data  », Journal of Probability and Statistics, 2011 (April 2011), 937574, 16 p.
  • Bouezmarni, T., Rombouts, J., « Nonparametric density estimation for multivariate bounded data », Journal of Statistical Planning and Inference, 140:1 (January 2010), 139–152.
  • Bouezmarni, T., Rombouts, J., Taamouti, A., « Asymptotic of the Bernstein density copula estimator for α-mixing data », Journal of Multivariate Analysis, 101:1 (January 2010), 1–10.
Research reports:
  • Bouezmarni, T., Roy, R., Taamouti, A., « Nonparametric tests for conditional independence using conditional distributions », Centre de recherches mathématiques, CRM-3311, September 2010.
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, ed., Lecture Notes in Computer Science, Vol. 7556, Berlin, Springer, 2012.
Peer-reviewed journal articles:
  • Beaumont, J.-F., Charest, A.-S., « Bootstrap variance estimation with survey data when estimating parameters », Computational Statistics & Data Analysis, 56:12 (December 2012), 4450–4461.
  • Tokdar, S. T., Grossmann, I., Kadane, J. B., Charest, A.-S., Small, M. J., « Impact of beliefs about atlantic tropical cyclone detection on conclusions about trends in tropical cyclone numbers », Bayesian Analysis, 6:4 (2011), 547–572.
  • Charest, A.-S., « How can we analyze differentially-private synthetic datasets? », Journal of Privacy and Confidentiality, 2:2 (2010), 21–33.
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:
  • 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, eds., Vol. 1, New Delhi, India, Asian Books, 2013.
Peer-reviewed journal articles:
  • 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., Sen, D., Saha, K., « On testing the coefficient of variation in an inverse Gaussian population  », Statistics & Probability Letters, 90 (July 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 (June 2013), 2118–2134.
  • 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 (June 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 (March 2012), 708–7327.
  • 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), 708–727.
  • 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 (January 2012), 554–572.
  • 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.
  • 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., 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.
  • 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., 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., 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.
  • 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., 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.
  • 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.
Ting-Huei Chen

Peer-reviewed journal articles:
  • 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 (May 2014), 430–437.
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 (September 2016), 241–270.
  • 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 (February 2014), 308–327.
  • Dongmo Jiongo, V., Haziza, D., Duchesne, P., « Controlling the bias of robust small area estimators », Biometrika, 100:4 (December 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 (July 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 (September 2012), 447–479.
  • 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., 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.
  • Harms, T., Duchesne, P., « On kernel nonparametric regression designed for complex survey data », Metrika, 72:1 (July 2010), 111–138.
  • 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.
  • 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.
Peer-reviewed conference proceedings:
  • 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., Francq, C., « On testing for the mean vector of a multivariate distribution with generalized and {2}-inverses », MPRA Paper no 19740, January 2010.
Thierry Duchesne

Peer-reviewed journal articles:
  • 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 (April 2016), 445–463.
  • 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 (October 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 (June 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 (April 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, 14:2 (January 2014), 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 (November 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 (September 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 (September 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 (February 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 (October 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 (June 2012), 611–620.
  • 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.
  • 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.
  • 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.
  • Mahajan, U., Banandur, P., Rajaram, S., Duchesne, T., Abdous, B., Ramesh, B. M., Moses, S., Alary, M., « Determinants of time trends in HIV prevalence in the young antenatal population of Karnataka districts », Sexually Transmitted Infections, 87:1 (July 2011), A51.
  • Thamattoor, U., Thomas, T., Banandur, P., Potty, R. S., Duchesne, T., Abdous, B., Washington, R., Ramesh, B. M., Moses, S., Alary, M., « Multi-level analysis of the predictors of HIV prevalence among pregnant women enrolled in sentinel surveillance in four southern India states  », Sexually Transmitted Infections 87:1 (July 2011), A182.
  • 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, 17: 2 (April 2011), 234–255.
  • 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.
  • 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.
  • Duchesne, T., Fortin, D., Courbin, N., « Mixed conditional logistic regression for habitat selection studies. », Journal of Animal Ecology, 79:3 (May 2010), 548–555.
  • 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.
Other journal articles:
  • Duchesne, T., Rivest, L.-P., « Probabilités, statistique et population de poissons », Accromath, 6:2 (2011), 14–18.
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, April 2017.
Debbie J. Dupuis

Peer-reviewed journal articles:
  • Bee, M., Dupuis, D. J., Trapin, L., « US stock returns: are there seasons of excesses? », Quantitative Finance, 16;9 (2016), 1453–1464.
  • Tsai, Y.-L., Dupuis, D. J., Murdoch, D. J., « A robust test for asymptotic independence in 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.
  • 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.
  • 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.
  • Dupuis, D. J., « Forecasting temperature to price CME temperature derivatives », International Journal of Forecasting, 27:2 (2011), 602–618.
  • Dupuis, D. J., « Statistical modeling of the monthly parlmer drought severity index  », Journal of Hydrologic Engineering, 15:10 (October 2010), 796–807.
Sorana Froda

Peer-reviewed journal articles:
  • Froda, S., Leduc, H., « Estimating the basic reproduction number from surveillance data on past epidemics », Mathematical Biosciences, 256 (October 2014), 89–101.
  • Froda, S., Vanciu, V., « A bivariate non-homogeneous birth and death model for predator-prey interactions  », Statistics & Probability Letters, 83:11 (November 2013), 2526–2530.
  • Froda, S., Ferland, R., « Estimating the parameters of a Poisson process model for predator-prey interactions », Statistics & Probability Letters, 82:12 (December 2012), 2252–2259.
  • Nkurunziza, S., Froda, S., Ahmed, S. E., « The most powerful test in some cyclic predator-prey populations », Pakistan Journal of Statistics, 26:1 (2010), 281–292.
  • Barhdadi, A., Froda, S., « An exact test for additivity in two-way tables under biadditive modelling », Communications in Statistics. Theory and Methods, 39:11 (2010), 1960–1978.
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., Nešlehová, J., « Modeling dependence beyond correlation », in Statistics in Action: A Canada Outllok, Jerald F. Lawless, eds., London, Chapman & Hall, 2014.
  • Genest, C., Nešlehová, J., « Assessing and modeling asymmetry in bivariate continuous data », in Copulae in Mathematical and Quantitative Finance, Piotr Jaworski, Fabrizio Durante, Wolfgang Karl Härdle, eds., Lectures Notes in Statistics, New York, Springer, 2013.
  • Genest, C., Nešlehová, J., « Copulas and copula models », in Encyclopedia of Environmetrics, Second Edition, Abdel H. El-Shaarawi Walter W. Piegorsch, ed., 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, ed., Chichester, John Wiley & Sons, Ltd, 2013.
Peer-reviewed journal articles:
  • Côté, M.-P., Genest, C., Abdallah, A., « Rank-based methods for modeling dependence between loss triangles », European Actuarial Journal 6:2 (December 2016), 377–408.
  • Garrido, J., Genest, C., Schulz, J., « Generalized linear models for dependent frequency and severity of insurance claims », Insurance: Mathematics & Economics, 70 (September 2016), 205–215.
  • Cormier, E., Genest, C., Nešlehová, J., « Using B-splines for nonparametric inference on bivariate extreme-value copulas », Extremes, 17:4, Extremes in Finance (December 2014), 633–659.
  • Genest, C., Nešlehová, J., « A conversation with James O. Ramsay », International Statistical Review / Revue internationale de statistique, 82:2 (August 2014), 161–183.
  • Genest, C., Mesfioui, M., « Bivariate extensions of Skellam’s distribution », Probability in the Engineering and Informational Sciences, 28:3 (July 2014), 401–417.
  • Charpentier, A., Fougères, A.-L., Genest, C., Nešlehová, J., « Multivariate Archimax copulas », Journal of Multivariate Analysis, 126 (April 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 (September 2013), 1133–1134.
  • Genest, C., Brackstone, G., « Obituary: Martin B. Wilk », ISM Bulletin, 42:4 (July 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 (May 2013), 214–228.
  • Genest, C., Haguel, M.-J., « Des théories et des modèles au secours de la planète », Bulletin AMQ, LIII:2 (May 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-copulas constructions », Journal of Multivariate Analysis, 110, Special issue on copula modeling and dependence (September 2012), 74–90.
  • Genest, C., « Preface to the special issue on copula modeling and dependence », Journal of Multivariate Analysis, 110 (September 2012), 1–3.
  • Genest, C., Nešlehová, J., Quessy, J.-F., « Test of symmetry for bivariate copulas », Annals of the Institute of Statistical Mathematics, 64:4 (August 2012), 811–834.
  • Genest, C., Nešlehová, J., Ziegel, J., « Inference in multivariate Archimedean copula models », TEST, 20:2 (August 2011), 223–256.
  • 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, V., Genest, C., « La loi de Newcomb-Benford ou la loi du premier chiffre significatif », Bulletin AMQ, 51:2 (May 2011), 22–39.
  • 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., Ruppert, M., « Discussion: Statistical models and methods for dependence in insurance data », Journal of the Korean Statistical Society, 40:2 (2011), 141–148.
  • 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., Brackstone, G., « A conversation with Martin Bradbury Wilk », Statistical Science, 25:2 (May 2010), 258–273.
  • 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., 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.
Other journal articles:
  • Genest, C., « Jerald F. Lawless becomes an honorary member of the SSC », Liaison, 28:3 (August 2014), 33–35.
  • Genest, C., Nešlehová, J., « James O. Ramsay: Honorary Member of the SSC », SSC Liaison, 26:3 (August 2014), 24–26.
  • Genest, C., « Derek Bingham en quête de l’émulateur parfait », Bulletin du CRM, 20:1 (April 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 (April 2014), 21.
  • Lin, X., Genest, C., Banks, D., Molenberghs, G., Scott, D., Wang, J.-L., « COPSS 50th Anniversary Volume », IMS Bulletin, 43:3 (March 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 (October 2013), 1078–1079.
  • Genest, C., « Where Ignorance is Bliss », CMS Notes, 45:4 (September 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 (August 2013), 56–58.
  • Genest, C., « Nouvelles du Laboratoire de statistique du CRM », Bulletin du CRM, 18:2 (September 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 (May 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 (February 2012), 46–47.
  • Genest, C., « The workshop on copula models and dependence held at the CRM in June », SSC Liaison 25:3 (August 2011), 38.
  • Bellhouse, D. R., Genest, C., « Raymond F. Currie receives the Lise Manchester Award », SSC Liaison, 24:3 (August 2010), 40–41.
  • Genest, C., « The SSC Gold Medal Awarded to Louis-Paul Rivest », SSC Liaison 24:3 (August 2010), 30–31.
  • Genest, C., « David R. Brillinger is awarded an SSC Honourary Membership », SSC Liaison, 24:3 (August 2010), 32+37–38.
  • Genest, C., « Paul Cabilio is the recipient of the 2010 SSC Distinguished Award », SSC Liaison, 24:3 (August 2010), 38–39.
  • Genest, C., « The SSC Impact Award is awarded to Abdel H. El-Shaarawi », SSC Liaison, 24:3 (August 2010), 42–43.
  • Genest, C., « The Canadian Journal of Statistics Award for 2009 », SSC Liaison, 24:2 (May 2010), 19–20.
  • Genest, C., « Michelle Qian Zhou wins the Pierre Robillard Award », SSC Liaison 24:2 (May 2010), 21.
  • Genest, C., « The 23rd Laval Statistics Day  », SSC Liaison, 24:2 (May 2010), 25.
Simon Guillotte

Peer-reviewed journal articles:
  • Guillotte, S., Perron, F., « Polynomial Pickands functions », Bernoulli, 22:1 (February 2016), 213–241.
  • Guillotte, S., Perron, J., « Inference on Archimedean copulas using mixtures of Pólya trees », Journal of Statistical Planning and Inference, 166 (November 2015), 2–13.
  • Perron, F., Guillotte, S., « Bayesian estimation of a bivariate copula using the Jeffreys prior », Bernoulli, 18:2 (May 2012), 496–519.
  • 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.
David Haziza

Peer-reviewed journal articles:
  • 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 (December 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 (December 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 (September 2016), 683–699.
  • Haziza, D., Lesage, É., « A discussion of weighting procedures for unit nonresponse », Journal of Official Statistics, 32:1 (March 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 (December 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 (June 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 (December 2014), 650–669.
  • Beaumont, J.-F., Bocci, C., Haziza, D., « An adaptive data collection procedure for call prioritization », Journal of Official Statistics, 30:4 (December 2014), 607–621.
  • Gelein, B., Haziza, D., Causeur, D., « Preserving relationships between variables with MIVQUE-Based imputation for item nonresponse in surveys », Journal of Multivariate Analysis, 131:C (October 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 (March 2014), 142–167.
  • Kim, J. K., Haziza, D., « Doubly robust inference with missing data in survey sampling », Statistica Sinica, 24:1 (January 2014), 375–394.
  • Dongmo Jiongo, V., Haziza, D., Duchesne, P., « Controlling the bias of robust small area estimators », Biometrika, 100:4 (December 2013), 843–858.
  • Beaumont, J.-F., Haziza, D., Ruiz-Gazen, A., « A unified approach to robust estimation in finite population sampling », Biometrika, 100:3 (May 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 (July 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 (June 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 (March 2012), 124–149.
  • Haziza, D., Rao, J. N. K., « Variance estimation in two-stage cluster sampling under imputation for missing data », Journal of Statistical Theory and Practice, 4:4 (November 2011), 827–844.
  • Haziza, D., Hidiroglou, M. A., Rao, J. N. K., « Comparison of variance estimators in two-phase sampling: an empirical investigation  », Pakistan Journal of Statistics, 27:4, Special issue to mark the 80th birthday of K.R.W.Brewer (October 2011), 477–492.
  • Chauvet, G., Deville, J.-C., Haziza, D., « On balanced random imputation in surveys », Biometrika, 98:2 (June 2011), 459–471.
  • Beaumont, J.-F., Haziza, D., Bocci, C., « On variance estimation under auxiliary value imputation in sample surveys », Statistica Sinica, 21:2 (2011), 515–537.
  • Haziza, D., Tillé, Y., « An interesting property of the entropy of some smapling designs  », Survey Methodology / Techniques d'enquête, 36:2 (December 2010), 229–231.
  • Haziza, D., Chauvet, G., Deville, J.-C., « Sampling and estimation in the presence of cut-off sampling », Australian & New Zealand Journal of Statistics, 52:3 (September 2010), 303–319.
  • Haziza, D., Thompson, K. J., Yung, W., « The effect of nonresponse adjustments on variance estimation », Survey Methodology / Techniques d'enquête, 36:1 (June 2010), 35–43.
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.
  • Nambeu, C. O., Haziza, D., Chauvet, G., « Imputation pour des populations contenant beaucoup de zéros », Assemblée annuelle de la Société statistique du Canada (2011), 2011.
  • Haziza, D., « Resampling methods for variance estimation in the presence of missing survey data », 45th Scientific Meeting of the Italian Statistical Society (Padova, 2010), 2010.
Research reports:
  • Chaput, H., Chauvet, G., Haziza, D., Salembier, L., Solard, J., « Joint imputation procedures for categorical variables », arXiv:1511.00990, November 2015.
  • Vallée, A.-A., Haziza, D., « Variance estimation in the presence of imputed data for high entropy sampling designs », Université de Neuchâtel, 2014.
Khader Khadraoui

Monographs and books:
  • Khadraoui, K., Régression bayésienne sous contraintes de régularité et de forme, Éditions universitaires européennes, 2011.
Peer-reviewed journal articles:
  • 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 (December 2015), 517–532.
  • Abraham, C., Khadraoui, K., « Bayesian regression with B-splines under combinations of shape constraints and smoothness properties », Statistica Neerlandica, 69:2 (May 2015), 150–170.
  • Khadraoui, K., « A simple Markovian individual-based model as a means of understanding forest dynamics », Mathematics and Computers in Simulation, 107 (January 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., eds., Springer Proceedings in Mathematics & Statistics, Vol. 118, Cham, Springer, 2015.
Abbas Khalili

Peer-reviewed journal articles:
  • 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 (December 2013), 596–616.
  • Khalili, A., Lin, S., « Regularization in finite mixture of regression models with diverging number of parameters », Biometrics, 69:2 (June 2013), 436–446.
  • Khalili, A., Chen, J., Lin, S., « Feature selection in finite mixture of sparse normal linear models in high-dimensional feature space », Biostatistics, 12:1 (January 2011), 156–172.
  • Khalili, A., « An overview of the new feature selection methods in finite mixture of regression models », JIRSS Journal of the Iranian Statistical Society, 10:2 (2011), 201–235.
  • Khalili, A., « New estimation and feature selection methods in mixture-of-experts models », The Canadian Journal of Statistics / La revue canadienne de statistique, 38:4 (December 2010), 519–539.
  • Garmaroudi, F. S., Marchant, D., Si, X., Khalili, A., Bashashati, A., Wong, B. W., Tabet, A., T. Ng, R., Murphy, K., Luo, H., Janes, K. A., McManus, B. M., « Pairwise network mechanisms in the host signaling response to coxsackievirus B3 infection », Proceedings of the National Academy of Sciences of the United States of America, 107:39 (August 2010), 17053–17058.
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, eds., 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, ed., New York, Springer, 2013.
Peer-reviewed journal articles:
  • 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 (January 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 (November 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 (November 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 (July 2012), 30 p.
  • Labbe, A., Dudoit, S., « Special issue on computational statistical methods for genomics ans systems biology », Statistical Applications in Genetics and Molecular Biology, 11:2, Art.1 (January 2012), 5 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, Art.4 (January 2012), 27 p.
  • Tayeb, A., Labbe, A., Bureau, A., Mérette, C., « Solving genetic heterogeneity in extended families by identifying sub-types of complex diseases », Computational Statistics, 26:3 (September 2011), 539–560.
  • Mamdani, F., Berlim, M. T., Beaulieu, M., Beaulieu, M.-M., Labbe, A., Mérette, C., Turecki, G., « Gene expression biomarkers of response to citalopram treatment in major depressive disorder », Translational Psychiatry, 1:e13 (June 2011), 8 p.
  • Fiori, L. M., Bureau, A., Labbe, A., Croteau, J., Noël, S., Mérette, C., Turecki, G., « Global gene expression profiling of the polyanime system in suicide completers », The International Journal of Neuropsychopharmacology, 14:5 (June 2011), 595–605.
  • Bureau, A., Croteau, J., Tayeb, A., Mérette, C., Labbe, A., « Latent class model with familial dependence to address heterogeneity in complex diseases: adapting the approach to family-based association studies », Genetic Epidemiology, 35:3 (April 2011), 182–189.
  • Manges, A. R., Labbe, A., Loo, V. G., Atherton, J., Behr, M. A., Masson, L., Tellis, P. A., Brousseau, R., « Comparative metagenomic study of alterations to the intestinal microbiota and risk of nosocomial clostridum difficile-associated diease », The Journal of Infectious Diseases, 202:12 (December 2010), 1877–1884.
Other journal articles:
  • Labbe, A., « De la statistique à la génétique: identifier les gènes responsables de maladies complexes », Bulletin AMQ, 53:2 (May 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 (March 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 (October 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, eds., Springer Proceedings in Mathematics & Statistics, Vol. 56, Springer, 2013, 107–116.
Lajmi Lakhal Chaieb

Peer-reviewed journal articles:
  • 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 (December 2015), 517–532.
  • 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 (September 2014), 384–403.
  • Romdhani, H., Lakhal-Chaieb, L., Rivest, L.-P., « Kendall’s tau for hierarchical data », Journal of Multivariate Analysis, 128 (July 2014), 2010–225.
  • 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 (September 2013), 439–452.
  • Romdhani, H., Lakhal-Chaieb, L., « On the association between variables with lower detection limits », Statistics in Medicine, 30:26 (November 2011), 3137–3148.
  • Lakhal-Chaieb, L., Cook, R. J., Lin, X., « Inverse probability of censoring weighted estimates of Kendall’s τ for gap time analyses
     », Biometrics, 66:4 (December 2010), 1145–1152.
  • Lakhal-Chaieb, L., « Copula inference under censoring », Biometrika, 97:2 (2010), 505–512.
Fabrice Larribe

Peer-reviewed journal articles:
  • 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 (July 2013), 173–181.
  • Fillion, M., Lemire, M., Philibert, A., Frenette, B., Weiler, H., Deguire, J. R., Guimarães, J. R. D., Larribe, F., Barbosa Jr, F., Mergler, D., « Visual acuity in fish consumers of the Brazilian Amazon: risks and benefits from local diet », Public Health Nutrition, 14:12 (September 2011), 2236–2244.
  • Larribe, F., Fearnhead, P., « On composite likelihoods in statistical genetics », Statistica Sinica, 21:1 (January 2011), 43–69.
Geneviève Lefebvre

Peer-reviewed journal articles:
  • Talbot, D., Atherton, J., Rossi, A., Bacon, S., Lefebvre, G., « A cautionary note concerning the use of stabilized weights in marginal structural models », Statistics in Medicine, 34:5 (February 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 (July 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 (February 2014), 227–240.
  • 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.
  • Lefebvre, G., Gustafson, P., « Impact of outcome model misspecification on regression and doubly-robust inverse probability weighting to estimate causal effect », The International Journal of Biostatistics, 6:2, Art.15 (March 2010), Article 15, 27 p.
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 (March 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 (May 2012), 965–971.
Brenda MacGibbon

Book chapters:
  • 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, Vol. 6, Beachwood, OH, Inst. Math. Stat., 2010.
Peer-reviewed journal articles:
  • Lavoie-Tremblay M., O’conner, P., Harripaul, A., Biron, A., Ritchie, J., Lavigne, G. L., Baillargeon, S., Ringer, J., MacGibbon, B., Taylor-Ducharme, S., Sourdif, J., « The effect of transforming care at the bedside initiative on healthcare teams’ work environments », Worldviews on Evidence-Based Nursing, 11:1 (February 2014), 16–25.
  • Longo, C., Barlett, G., MacGibbon, B., Mayo, N., Rosenberg, E., Nadeau, L., Daskalopoulou, S. S., « The effect of obesity on antibiotic treatment failure: a historical cohort study », Pharmacoepidemiology and Drug Safety, 22:9 (September 2013), 970–976.
  • Angers, J.-F., MacGibbon, B., « Hazard function estimation with nonnegative “wavelets” », Statistics & Probability Letters, 83:4 (April 2013), 969–978.
  • 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.
  • 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.
  • 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., 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.
Éric Marchand

Peer-reviewed journal articles:
  • Jafari Jozani, M., Marchand, É., Strawdermann, W. E., « Estimation of a nonnegative location parameter with unknown scale », Annals of the Institute of Statistical Mathematics, 66 (September 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 (September 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 (August 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, 19:8 (2014), 1–12.
  • 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 (August 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 (April 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 (September 2012), 2607–2618.
  • Marchand, É., Strawdermann, W. E., « A unified minimax result for restricted parameter spaces », Bernoulli, 18:2 (May 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.
  • Marchand, É., Strawderman, W. E., « A unified minimax result for restricted parameter spaces », Bernoulli, 18:2 (2012), 635–643.
  • Marchand, É., Jafari Jozani, M., Tripathi, Y. M., « Inadmissible estimators of normal quantiles and two-sample problems with additional information », Institute of Mathematical Statistics Collections, 8 (2012), 104–116.
  • 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.
  • 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., « 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.
  • Ait Aoudia, D., Marchand, É., « On the number of runs for Bernoulli arrays », Journal of Applied Probability, 47:2 (June 2010), 367–377.
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, eds., IMS Collections, Vol. 8, Beachwood, OH, Inst. Math. Stat., 2012, 104–116.
Research reports:
  • 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

Monographs and books:
  • 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.
Peer-reviewed journal articles:
  • Saarela, O., Stephens, D. A., Moodie, E. E. M., Klein, M. B., « On Bayesian estimation of marginal structural models », Biometrics, 71:2 (June 2015), 279–288.
  • Moodie, E. E. M., Dean, N., Sun, Y. R., « Q-learning: Flexible learning about useful utilities », Statistics in Biosciences, 6:2 (November 2014), 223–243.
  • Naimi, A., Moodie, E. E. M., Auger, N., Kaufman, J. S., « Semiparametric adjusted exposure-response curves », Epidemiology, 25:6 (November 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 (October 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 (August 2014), 1957–1965.
  • Naimi, A., Moodie, E. E. M., Auger, N., Kaufman, J. S., « Stochastic mediation contrast in epidemiologic research: interpregnancy interval and the educational disparity in preterm delivery », American Journal of Epidemiology, 180:4 (August 2014), 436–445.
  • 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 (June 2014), 455–464.
  • Wallace, M., Moodie, E. E. M., « Personalizing medicine: a review of adaptive treatment strategies », Pharmacoepidemiology and Drug Safety, 23:6 (June 2014), 580–585.
  • Moodie, E. E. M., Stephens, D. A., Klein, M. B., « A marginal structural model for multiple-outcome survival data: assessing the impact of infection drug use on several causes of death in the Canadian co-infection cohort », Statistics in Medicine, 33:8 (April 2014), 1409–1425.
  • 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 (April 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 (April 2014), 121–128.
  • 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 (March 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 (March 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 (March 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 breasftfeeding on gastrointestinal infection in infants: a targeted maximum likehood approach for clustered longitudianl data », The Annals of Applied Statistics, 8:2 (2014), 703–725.
  • Rich, B., Moodie, E. E. M., Stephens, D. A., « Simulating sequential multiple assignement randomized trials to generate optimal personalized warfarin dosing strategies », Clinical Trials, 11 (2014), 435–444.
  • 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 (September 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 (May 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 (April 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 (January 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 (January 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 (December 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 (November 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 (November 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 (September 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 (August 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 (July 2012), 727–734.
  • 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.
  • Brenner, B., Moodie, E. E. M., « HIV sexual networks: the Montreal experiene », Statistical Communications in Infectious Diseases, 4:1 (April 2012), Article 1, 24 p.
  • Moodie, E. E. M., Kaufman, J. S., Platt, R. W., « Special issue on casual inference in health research (Editorial introduction) », The International Journal of Biostatistics, 8:2 (January 2012), Article 1, 2 p.
  • Hanley, J. A., Moodie, E. E. M., « Sample size, precision and power calculations: a unified approach », Journal of Biometrics & Biostatistics, 2:5 (November 2011), 9 p.
  • 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.
  • 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.
  • 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.
  • 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., 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., « Special issue on casual inference », The International Journal of Biostatistics, 6:2 (February 2010), Article 4, 4 p.
  • 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 p.
  • 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), Article 12, 24 p.
  • Biernot, P., Moodie, E. E. M., « A comparison of variable selection approaches for dynamic treatment regimes », The International Journal of Biostatistics, 6:1 (January 2010), 6, 20 p.
Alejandro Murua

Research reports:
  • Murua, A., Wicker, N., « The conditional-Potts clustering model », Centre de recherches mathématiques, CRM-3317, October 2011.
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 Canada Outllok, Jerald F. Lawless, eds., London, Chapman & Hall, 2014.
  • Genest, C., Nešlehová, J., « Assessing and modeling asymmetry in bivariate continuous data », in Copulae in Mathematical and Quantitative Finance, Piotr Jaworski, Fabrizio Durante, Wolfgang Karl Härdle, eds., Lectures Notes in Statistics, New York, Springer, 2013.
  • Genest, C., Nešlehová, J., « Copulas and copula models », in Encyclopedia of Environmetrics, Second Edition, Abdel H. El-Shaarawi Walter W. Piegorsch, ed., 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, ed., Chichester, John Wiley & Sons, Ltd, 2013.
  • 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, René A. Carmona, Pierre Del Moral, Peng Hu, Nadia Oudjane, eds., Springer Proceedings in Mathematics, Vol. 12, Berlin, Springer, 2012.
Peer-reviewed journal articles:
  • Cormier, E., Genest, C., Nešlehová, J., « Using B-splines for nonparametric inference on bivariate extreme-value copulas », Extremes, 17:4, Extremes in Finance (December 2014), 633–659.
  • Genest, C., Nešlehová, J., « A conversation with James O. Ramsay », International Statistical Review / Revue internationale de statistique, 82:2 (August 2014), 161–183.
  • Charpentier, A., Fougères, A.-L., Genest, C., Nešlehová, J., « Multivariate Archimax copulas », Journal of Multivariate Analysis, 126 (April 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 (December 2013), 596–616.
  • Du, Y., Nešlehová, J., « A moment-based test for extreme-value dependence », Metrika, 76:5 (July 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 (May 2013), 214–228.
  • Acar, E. F., Genest, C., Nešlehová, J., « Beyond simplified pair-copulas constructions », Journal of Multivariate Analysis, 110, Special issue on copula modeling and dependence (September 2012), 74–90.
  • Genest, C., Nešlehová, J., Quessy, J.-F., « Test of symmetry for bivariate copulas », Annals of the Institute of Statistical Mathematics, 64:4 (August 2012), 811–834.
  • Genest, C., Nešlehová, J., Ziegel, J., « Inference in multivariate Archimedean copula models », TEST, 20:2 (August 2011), 223–256.
  • 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., 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., Ruppert, M., « Discussion: Statistical models and methods for dependence in insurance data », Journal of the Korean Statistical Society, 40:2 (2011), 141–148.
  • Larsson, M., Nešlehová, J., « Extremal behavior of archimedean copulas », Advances in Applied Probability, 43:1 (2011), 195–216.
  • McNeil, A. J., Nešlehová, J., « From Archimedean to Liouville copulas », Journal of Multivariate Analysis, 101:8 (September 2010), 1772–1790.
  • Feidt, A., Genest, C., Nešlehová, J., « Asymptotics of joint maxima for discontinuous random variables », Extremes, 13:1 (March 2010), 35–53.
  • 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.
Other journal articles:
  • Genest, C., Nešlehová, J., « James O. Ramsay: Honorary Member of the SSC », SSC Liaison, 26:3 (August 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 (August 2013), 56–58.
Karim Oualkacha

Peer-reviewed journal articles:
  • 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, Art.4 (January 2012), 27 p.
Vahid Partovi Nia

Peer-reviewed journal articles:
  • 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.
François Perron

Peer-reviewed journal articles:
  • Guillotte, S., Perron, F., « Polynomial Pickands functions », Bernoulli, 22:1 (February 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, 19:8 (2014), 1–12.
  • Ait Aoudia, D., Perron, F., « A new randomized polya urn model », Applied Mathematics, 3:12A (December 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 (August 2012), 719–737.
  • Perron, F., Guillotte, S., « Bayesian estimation of a bivariate copula using the Jeffreys prior », Bernoulli, 18:2 (May 2012), 496–519.
  • 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.
  • Jafari Jozani, M., Perron, F., « On the use of antithetic variables to improve over the ranked set sampling estimator of the population mean », Sankhyā. Series A, 73:1 (February 2011), 142–161.
Research reports:
  • 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

Monographs and books:
  • Buck Louis, G. M., Platt, R. W., Reproductive and Perinatal Epidemiology, Oxford University Press, 2011.
Peer-reviewed journal articles:
  • 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 (XXXX), accepted.
  • 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 (September 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 (August 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 (August 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 (July 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 (July 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 (April 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 (March 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 (March 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 (March 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 (March 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 (February 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 (February 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 (January 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 (January 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 (December 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 (November 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 (October 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 (July 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 (June 2014), 1447–1456.
  • 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, M., « Atypical antipsychotics and hyperglycemic emergencies: Multicentre, retrospective cohort study of administrative data », Schizophrenia Research, 154:1-3 (April 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 (April 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 (March 2014), 97–105.
  • 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 (March 2014), 144–152.
  • 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 (March 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 (March 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 (March 2014), 207–214.
  • Kramer, M. S., Zhang, X., Platt, R. W., « Analyzing risks of adverse prengnancy outcomes », American Journal of Epidemiology, 179:3 (February 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 (January 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 (January 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 (January 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 breasftfeeding on gastrointestinal infection in infants: a targeted maximum likehood approach for clustered longitudianl 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 (October 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 (October 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 (September 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 (July 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 (May 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 (May 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 (April 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 (April 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 (February 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 (January 2013), 1–14.
  • Platt, R. W., Harper, S., « Survey data with sampling weights: Is a there a “best” approach? », Environmental Research, 120 (January 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 (January 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 (January 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 (November 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 (November 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 (October 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 (August 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 (August 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 (August 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 (June 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 (June 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 (May 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 (May 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 (April 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 (March 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 (March 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 (March 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 (February 2012), 77–83.
  • Moodie, E. E. M., Kaufman, J. S., Platt, R. W., « Special issue on casual inference in health research (Editorial introduction) », The International Journal of Biostatistics, 8:2 (January 2012), Article 1, 2 p.
  • Foster, B. J., Dahhou, M., Zhang, X., Platt, R. W., Samuel, S. M., Hanley, J. A., « Association between age and graft failure rates in young kidney transplant recipients », Transplantation, 92:11 (December 2011), 1237–1243.
  • Kahn, S. R., Almeida, N. D., McNamara, H., Koren, G., Genest, J., Dahhou, M., Platt, R. W., Kramer, M. S., « Smoking in preeclamptic women is associated with higher birthweight for gestational age and lower soluble fms-like tyrosine kinase-1 levels: a nested case control study », BMC Pregnancy Childbirth, 11:91 (November 2011), 10 p.
  • Kramer, M. S., Fombonne, E., Matush, L., Bogdanovich, N., Mourad, D., Platt, R. W., « Long-term behavioural consequences of infant feeding: the limits of observational studies », Paediatric and Perinatal Epidemiology, 25:6 (November 2011), 500–506.
  • Smith, D., Johnson, E. S., Thorp, M. L., Yang, X., Petrik, A., Platt, R. W., Crispell, K., « Predicting poor outcomes in heart failure », The Permanente Journal 15:4 (October 2011), 4–11.
  • Villandré, L., Hutcheon, J. A., Perez Trejo, M. E., Abenhaim, H., Jacobsen, G., Platt, R. W., « Modeling Fetal Weight for Gestational Age: A Comparison of a Flexible Multi-level Spline-based Model with Other Approaches », The International Journal of Biostatistics, 7:1 (August 2011), Article 32, 26 p.
  • Fontela, P. S., Platt, R. W., Rocher, I., Frenette, C., Moore, D., Fortin, E., Buckeridge, D. L., Pai, M., Quach, C., « Epidemiology of central line-associated bloodstream infections in Quebec intensive care units: a 6-year review », American Journal of Infection Control, 40:3 (August 2011), 221–226.
  • Bodnar, L. M., Hutcheon, J. A., Platt, R. W., Himes, K. P., Simhan, H. N., Abrams, B., « Should Gestational Weight Gain Recommendations be Tailored by Maternal Characteristics? », American Journal of Epidemiology, 174:2 (June 2011), 136–146.
  • 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.
  • Almeida, N. D., Koren, G., Platt, R. W., Kramer, M. S., « Hair Biomarkers as Measures of Maternal Tobacco Smoke Exposure and Predictors of Fetal Growth », Nicotine & Tobacco Research, 13:5 (May 2011), 328–335.
  • Fontela, P. S., Platt, R. W., Rocher, I., Frenette, C., Moore, D., Fortin, E., Buckeridge, D. L., Pai, M., Quach, C., « Surveillance Provinciale des Infections Nosocomiales (SPIN) Program: implementation of a mandatory surveillance program for central line-associated bloodstream infections », American Journal of Infection Control, 39:4 (May 2011), 329–335.
  • Hutcheon, J. A., Walker, M., Platt, R. W., « Assessing the Value of Customized Birth Weight Percentiles », American Journal of Epidemiology, 173:4 (February 2011), 459–467.
  • Mahmud, S. M., Franco, E. L., Turner, D., Platt, R. W., Beck, P., Skarsgard, D., Tonita, J., Sharpe, C., Aprikian, A. G., « Use of Non-Steroidal Anti-Inflammatory Drugs and Prostate Cancer Risk: A Population-Based Nested Case-Control Study », PLoS One, 6:1 (January 2011), e16412.
  • Hutcheon, J. A., Zhang, X., Platt, R. W., Cnattingius, S., Kramer, M. S., « The case against customised birthweight standards », Paediatric and Perinatal Epidemiology, 25:1 (January 2011), 11–16.
  • Kramer, M. S., Lydon, J., Séguin, L., Goulet, L., Kahn, S. R., McNamara, H., Genest, J., Sharma, S. D., Meaney, M. J., Libman, M., Dahhou, M., Platt, R. W., « Non-stress-related factors associated with maternal corticotrophin-releasing hormone (CRH) concentration », Paediatric and Perinatal Epidemiology, 24:4 (July 2010), 390–397.
  • Luong, M.-L., Libman, M., Dahhou, M., Fong Chen, M., Kahn, S. R., Goulet, L., Séguin, L., Lydon, J., McNamara, H., Platt, R. W., Kramer, M. S., « Vaginal Douching, Bacterial Vaginosis, and Spontaneous Preterm Birth », JOGC Journal of Obstetric and Gynaecology Canada, 32:4 (April 2010), 313–320.
  • Hutcheon, J. A., Egeland, G. M., Morin, L., Meltzer, S. J., Jacobsen, G., Platt, R. W., « The predictive ability of conditional fetal growth percentiles », Paediatric and Perinatal Epidemiology 24:2 (March 2010), 131–139.
  • Johnson, E. S., Weinstein, J. R., Thorp, M. L., Platt, R. W., Petrik, A., Yang, X., Anderson, S., Smith, D. H., « Predicting the risk of hyperkalemia in patients with chronic kidney disease starting lisinopril », Pharmacoepidemiology and Drug Safety, 19:3 (March 2010), 266–272.
  • Austin, P. C., Platt, R. W., « Author's response: the design of observational studies- defining baseline time », Journal of Clinical Epidemiology, 63:2 (February 2010), 141.
  • Austin, P. C., Platt, R. W., « Survivor treatment bias, treatment selection bias, and propensity scores in observational research », Journal of Clinical Epidemiology, 63:2 (February 2010), 136–138.
  • Yang, S., Platt, R. W., Kramer, M. S., « Variation in Child Cognitive Ability by Week of Gestation Among Healthy Term Births », American Journal of Epidemiology, 171:4 (February 2010), 399–406.
  • 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), Article 12, 24 p.
James O. Ramsay

Book chapters:
  • Ramsay, J. O., « Curve registration », in The Oxford Handbook of Functional Data Analysis, F. Ferraty, Y. Romain, ed., Oxford, Oxford Univ. Press, 2011.
  • Ramsay, J. O., Ramsay, T., Sangalli, L. M., « Spatial functional data analysis », in Recent Advances in Functional Data Analysis and Related Topics, F. Ferraty, eds., Contributions to Statistics, Berlin, Springer, 2011.
Peer-reviewed journal articles:
  • Sangalli, L. M., Ramsay, J. O., Ramsay, T., « Spatial spline regession models », Journal of the Royal Statistical Society. Series B. Statistical Methodology, 75:4 (September 2013), 681–703.
  • Hooker, G., Ramsay, J. O., « Learned-loss boosting », Computational Statistics & Data Analysis, 56:12 (December 2012), 3935–3944.
  • Fok, C. C. T., Ramsay, J. O., Abrahamowicz, M., Fortin, P., « A functional marked point process model for lupus data », The Canadian Journal of Statistics / La revue canadienne de statistique, 40:3 (September 2012), 517–529.
  • Ramsay, J. O., Wainer, H., « Inside-out plots », Chance, 23:3 (September 2010), 57–62.
  • Cao, J., Ramsay, J. O., « Linear mixed-effects modeling by parameter cascading  », Journal of the American Statistical Association, 105:489 (March 2010), 365–374.
Bruno Rémillard

Monographs and books:
  • Rémillard, B., Statistical Methods for Financial Engineering, Boca Raton, Chapman and Hall /CRC Press, 2013.
Book chapters:
  • Rémillard, B., « Tests of independence », in International Encyclopedia of Statistical Science, M. Lovric, eds., Berlin, Springer, 2011.
Peer-reviewed journal articles:
  • 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.
  • Ghoudi, K., Rémillard, B., « Comparison of specification tests for GARCH models », Computational Statistics & Data Analysis, 76 (August 2014), 291–300.
  • Rémillard, B., Vaillancourt, J., « On signed measure valued solutions of stochastic evolution equation  », Stochastic Processes and their Applications, 124:1 (January 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 (June 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 (May 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 (September 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 (September 2012), 30–42.
  • 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), 3–35.
  • Rémillard, B., Renaud, J.-F., « A martingale representation for the maximum of a Lévy process », Communications on Stochastic Analysis, 5:4 (December 2011), 683–688.
  • 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.
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, eds., 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, eds., 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, eds., 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, April 2017.
  • Rémillard, B., « Non-parametric change problems using multipliers », SSRN, 2043632, April 2012.
  • Rémillard, B., « Specification for dynamic models using multipliers », SSRN, 2028558, March 2012.
Technical reports:
  • Rémillard, B., « Validity of the parametric bootstrap for goodness-of-fit testing in dynamic models », SSRN, 1966476, November 2011, 43 p p.
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, Jerald F. Fawless, eds., New York, Champman & Hall/CRC, 2014.
  • Rivest, L.-P., « Ajustement de modèles multi-niveaux à des données d’enquête », in Pratiques et méthodes de sondage, M.-E. Tremblay, P. Lavallée, M. El haj Tirari, eds., Sciences Sup, Paris, Dunod, 2011.
Peer-reviewed journal articles:
  • 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 (April 2016), 445–463.
  • Bordet, C., Rivest, L.-P., « A stochastic Pella Tomlinson model and its maximum sustainable yield », Journal of Theoretical Biology, 360 (November 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 (September 2014), 384–403.
  • Romdhani, H., Lakhal-Chaieb, L., Rivest, L.-P., « Kendall’s tau for hierarchical data », Journal of Multivariate Analysis, 128 (July 2014), 2010–225.
  • 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 (February 2014), 46–54.
  • Guerrier, M., Turcotte, S., Labrecque, M., Rivest, L.-P., « Shared decision making does not influence physicians against clinical practice guidelines », PLoS One, 8:4 (April 2013), e62537.
  • Rivest, L.-P., « Théorie et applications des modèles de capture-recapture », Bulletin AMQ, 53:2 (February 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.
  • Lavallée, P., Rivest, L.-P., « Capture-recapture sampling and indirect sampling », Journal of Official Statistics, 28:1 (March 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.
  • 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.
  • 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 p.
  • 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.
  • 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.
  • 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.
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 (August 2013), 57–61.
  • 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., « The winter 2011 CRM thematic semester: Statistics », Bulletin du CRM, 16:1 (April 2010), 1–2.
Technical reports:
  • Daigle, G., Rivest, L.-P., « Analyses de regroupement des parcelles de l’UAF 012-54 à partir des variables photo-interprétées », ministère des Ressources naturelles et de la Faune du Québec, 2010, 25 p.
  • Daigle, G., Rivest, L.-P., « Application de la méthode kNN aux inventaires forestiers québécois », ministère des Ressources naturelles et de la Faune du Québec, 2010, 59 p.
  • Baillargeon, S., Rivest, L.-P., Daigle, G., « Projet pilote de l’UAF 012-54, Phase finale de l’approche historique: Méthodes du quotient et de la régression », ministère des Ressources naturelles et de la Faune du Québec, 2010, 55 p.
Mireille Schnitzer

Peer-reviewed journal articles:
  • 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 (March 2014), 144–152.
  • Schnitzer, M., van der Laan, M., Moodie, E. E. M., Platt, R. W., « Effect of breasftfeeding on gastrointestinal infection in infants: a targeted maximum likehood approach for clustered longitudianl 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 (January 2013), 1–14.
Arusharka Sen

Peer-reviewed journal articles:
  • Sen, A., Stute, W., « Identification of survival functions through hazard functions in the Clayton-family », Statistics & Probability Letters, 87 (April 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 (August 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.
  • 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.
Russell Steele

Peer-reviewed journal articles:
  • 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 (December 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 (October 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 (April 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 (December 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 (December 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 (December 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 (June 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 (April 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 (April 2012), 519–524.
  • Campbell, D., Steele, R., « Smooth functional tempering for nonlinear differential equation models », Statistics and Computing, 22:2 (March 2012), 429–443.
  • Tessler, M. J., Shrier, I., Steele, R., « Association between anesthesiologist age and litigation », Anesthesiology, 116 (2012), 574–579.
  • Walker, J. G., Steele, R., Schinitzer, M., Taillefer, S., Baron, M., Hudson, M., « The association between disease activity and duration in systemic sclerosis », The Journal of Rheumatology, 37:11 (September 2010), 2299–2306.
  • 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.
  • Steele, R., Wang, N., Raftery, A. E., « Inference from multiple imputation for missing data using mixtures of normals », Statistical Methodology, 7:3 (May 2010), 351–365.
  • Baron, M., Hudson, M., Steele, R., « Is serum albumin a market of malnutrition in chronic disease? The scleroderma paradigm », Journal of the American College of Nutrition, 29:2 (April 2010), 144–151.
  • Schieir, O., Thombs, B. D., Hudson, M., Boivin, J.-F., Steele, R., Bernatsky, S., Hanley, J. A., Baron, M., « Prevalence, severity and clinical correlates of pain in patientes with systemic sclerosis », Arthritis Care & Research, 62:3 (March 2010), 409–417.
  • Luce, J. J., Steele, R., Lapointe, M. F., « A physically based statistical model of sand abrasion effects on periphyton biomass », Ecological Modelling, 221:2 (January 2010), 353–361.
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:
  • Griffin, J. E., Stephens, D. A., « Advances in Markov chain Monrte Carlo », in Bayesian Theory and Applications, Damien, P., Dellaportas, P., Polson, N. G., Stephens, D. A., eds., Oxford University Press, 2013.
  • 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, René A. Carmona, Pierre Del Moral, Peng Hu, Nadia Oudjane, eds., Springer Proceedings in Mathematics, Vol. 12, Berlin, Springer, 2012.
  • Umande P. P., Stephens, D. A., « Spatial point process analysis of promyelocytic leukemia nuclear bodies », in Advances in Nuclear Architecture , Adams, N. M., Freemont, P.S., eds., Springer, 2011.
  • Russell, R. A., Adams, N. M., Stephens, D. A., Batty, E., Jensen, K., Freemont, P. S., « Methodology for quantitative analysis of 3-D nuclear architecture », in Advances in Nuclear Architecture, Adams, N. M., Freemont, P. S., eds., Springer, 2010.
Peer-reviewed journal articles:
  • Saarela, O., Stephens, D. A., Moodie, E. E. M., Klein, M. B., « On Bayesian estimation of marginal structural models », Biometrics, 71:2 (June 2015), 279–288.
  • Ertefaie, A., Asgharian, M., Stephens, D. A., « Double bias: Estimation of causual effects from length-biased samples in the presence of confounding », The International Journal of Biostatistics, 11:1 (May 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.
  • 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 (October 2014), 205–2015.
  • Moodie, E. E. M., Stephens, D. A., Klein, M. B., « A marginal structural model for multiple-outcome survival data: assessing the impact of infection drug use on several causes of death in the Canadian co-infection cohort », Statistics in Medicine, 33:8 (April 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 (March 2014), 83–94.
  • Rich, B., Moodie, E. E. M., Stephens, D. A., « Simulating sequential multiple assignement randomized trials to generate optimal personalized warfarin dosing strategies », Clinical Trials, 11 (2014), 435–444.
  • 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 (October 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 (June 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 (December 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 (May 2012), e36841.
  • 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.
  • Crowder, M. J., Stephens, D. A., « On inference from Markov chain macro-data using transforms », Journal of Statistical Planning and Inference, 141:9 (September 2011), 3201–3216.
  • 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., « Marginal structural models: unbiased estimation for longitudinal studies », International Journal of Public Health, 56:1 (February 2011), 117–119.
  • 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., « Using directed acyclic graphs to detect limitations of traditional regression in longitudinal studies », International Journal of Public Health, 55:6 (December 2010), 701–703.
  • 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.
  • 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.
  • Moodie, E. E. M., Stephens, D. A., « Special issue on casual inference », The International Journal of Biostatistics, 6:2 (February 2010), Article 4, 4 p.
  • 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), Article 12, 24 p.
  • 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 p.
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 (August 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 (May 2012), 32–33.
Denis Talbot

Peer-reviewed journal articles:
  • Talbot, D., Atherton, J., Rossi, A., Bacon, S., Lefebvre, G., « A cautionary note concerning the use of stabilized weights in marginal structural models », Statistics in Medicine, 34:5 (February 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 (February 2014), 227–240.
  • 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.
David B. Wolfson

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, Jerald F. Lawless, eds., CRC Press, Taylor & Francis Group, 2014.
Peer-reviewed journal articles:
  • 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 (July 2012), 18 p.
  • Du, Y., Hundt, C., Wolfson, D. B., « Previously unrecognized links between statistical dependence and some common modes of convergence », The American Statistician, 65:1 (2011), 55–60.
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, ed., Contemporary Studies in Economic and Financial Analysis, Vol. 96, Bingley, Emerald Group Publishing Limited, 2014.
Peer-reviewed journal articles:
  • Yang, Y., Zhang, T., Zou, H., « Flexible expectile regression in reproducing kernel Hilbert space », Technometrics (XXXX), accepted.
  • Yang, Y., Qian, W., Zou, H., « Insurance premium prediction via gradient tree-boosted tweedie compound Poisson models », Journal of Business & Economic Statistics (XXXX), accepted.
  • Qian, W., Yang, Y., Zou, H., « Tweedie’s compound Poisson model with grouped elastic net », Journal of Computational and Graphical Statistics, 25:2 (May 2016), 606–625.
  • Yang, Y., Zou, H., « A fast unified algorithm for solving group-lasso penalize learning problems », Statistics and Computing, 25:6 (November 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 (December 2014), Article 8, 20p..
  • 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.
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