Research

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Publications by Department Members

2017

Chen J. Consistency of the MLE under mixture models. Statistical Science. Institute of Mathematical Statistics; 2017; 32: 47–63.
Chen J. On finite mixture models. Statistical Theory and Related Fields. Taylor & Francis; 2017; 1: 15–27.
de Jong HJI, Kingwell E, Shirani A, Cohen-Tervaert JW, Hupperts R, Zhao Y, et al. Evaluating the safety of beta-interferons in multiple sclerosis: A series of nested case-control studies. Neurology. 2017; 88: 2310-2320. DOI: 10.1212/WNL.0000000000004037
de Souza CPE, Heckman NE, Xu F. Switching nonparametric regression models for multi-curve data. Canadian Journal of Statistics [Internet]. 2017; 45: 442–460. DOI: 10.1002/cjs.11331 URL: http://dx.doi.org/10.1002/cjs.11331
Deligiannidis G, Bouchard-Côté A, Doucet A. Exponential ergodicity of the Bouncy Particle Sampler. arXiv. 2017; 1705.04579.
Ding X, Qiu Z, Chen X. Sparse transition matrix estimation for high-dimensional and locally stationary vector autoregressive models. Electronic Journal of Statistics. 2017; 11: 3871–3902.
Högg T, Petkau J, Zhao Y, Gustafson P, Wijnands JMA, Tremlett H. Bayesian analysis of pair-matched case-control studies subject to outcome misclassification. Statistics in medicine. Wiley Online Library; 2017; 36: 4196–4213.
Högg T, Petkau J, Zhao Y, Gustafson P, Wijnands JMA, Tremlett H. Bayesian analysis of pair-matched case-control studies subject to outcome misclassification. Statistics in Medicine. 2017; 36(26). DOI: 10.1002/sim.7427
Högg T, Petkau J, Zhao Y, Gustafson P, Wijnands JMA, Tremlett H. Bayesian analysis of pair-matched case-control studies subject to outcome misclassification. Statistics in Medicine. 2017; 36: 4196-4213. DOI: 10.1002/sim.7427
Hua L, Joe H. Multivariate dependence modeling based on comonotonic factors. Journal of Multivariate Analysis. 2017; 155: 317-333. DOI: 10.1016/j.jmva.2017.01.008
Islam N, Krajden M, Shoveller J, Gustafson P, Gilbert M, Buxton JA, et al. Incidence, risk factors, and prevention of hepatitis C reinfection: a population-based cohort study. The Lancet Gastroenterology & Hepatology. Elsevier; 2017; 2: 200–210.
Islam N, Krajden M, Gilbert M, Gustafson P, Yu A, Kuo M, et al. Role of primary T-cell immunodeficiency and hepatitis B coinfection on spontaneous clearance of hepatitis C: The BC Hepatitis Testers Cohort. Journal of viral hepatitis. Wiley Online Library; 2017; 24: 421–429.
Islam N, Krajden M, Shoveller J, Gustafson P, Gilbert M, Wong J, et al. Hepatitis C cross-genotype immunity and implications for vaccine development. Scientific reports. Nature Publishing Group; 2017; 7: 12326.
Joe H. Parametric copula families for statistical models. In: Ubeda-Flores M, de Amo-Artero E, Durante F, Fernandez-Sanchez J. Copulas and Dependence Models with Applications: Contributions in Honor of Roger B. Nelsen [Internet]. Berlin: Springer; 2017. pp. 119–134. URL: https://link.springer.com/book/10.1007/978-3-319-64221-5
Jun S-H, Wong SWK, Zidek JV, Bouchard-Côté A. Sequential Graph Matching with Sequential Monte Carlo. In AISTATS. 2017. pp. 1075–1084.
Jun S-H, Bouchare-Cote A. Sequential graph matching with sequential monte carlo. Wonlg SWK. 20th International Conference on Artificial Intelligence and Statistics. Fort Lauderdale, Florida: AISTATS; 2017.
Karim MEhsanul, Petkau J, Gustafson P, Tremlett H, Group TBeams Stud. On the application of statistical learning approaches to construct inverse probability weights in marginal structural cox models: hedging against weight-model misspecification. Communications in Statistics-Simulation and Computation. Taylor & Francis; 2017; 46: 7668–7697.
Karim ME, Petkau J, Gustafson P, Tremlett H, Group BAMSStudy. On the application of statistical learning approaches to construct inverse probability weights in marginal structural Cox models: Hedging against weight-model misspecification. Communications in Statistics - Simulation and Computation. 2017; 46: 7668-7697. DOI: doi.org/10.1080/03610918.2016.1248574
Kepplinger D, Takhar M, Sasaki M, Hollander Z, Smith D, McManus B, et al. PGCA: An algorithm to link protein groups created from MS/MS data. PLOS ONE [Internet]. Public Library of Science; 2017; 12: 1-19. DOI: 10.1371/journal.pone.0177569 URL: https://doi.org/10.1371/journal.pone.0177569
Khalili A, Chen J, . Regularization in regime-switching Gaussian autoregressive models. The Canadian Journal of Statistics. 2017; 45: 374.
Krupskii P. Copula-based measures of reflection and permutation asymmetry and statistical tests. Statistical Papers. 2017; 58(4): 1165-1187.
Krupskii P, Genton M. Factor copula models for data with spatio-temporal dependence. Spatial Statistics. 2017; 22(1): 180-195.
Lee W, Greenwood P, Heckman N, Wefelmeyer W. Pre-averaged kernel estimators for the drift function of a diffusion process in the presence of microstructure noise. Statistical Inference for Stochastic Processes. 2017; 20(2).
Lenzi A, de Souza CPE, Dias R, Garcia NL, Heckman NE. Analysis of Aggregated Functional Data from Mixed Populations with Application to Energy Consumption. Environmetrics. 2017; 28(2).
Lindsten F, Johansen AM, Naesseth CA, Kirkpatrick B, Schon TB, Aston J, et al. Divide-and-conquer with sequential Monte Carlo. Journal of Computational Statistics and Graphics. 2017; 26: 445–458.
Lindsten F, Johansen AM, Naesseth CA, Kirkpatrick B, Schon TB, Aston J, et al. Divide-and-conquer with sequential Monte Carlo. Journal of Computational Statistics and Graphics. 2017; 26: 445–458.
McCandless LC, Gustafson P. A comparison of Bayesian and Monte Carlo sensitivity analysis for unmeasured confounding. Statistics in medicine. Wiley Online Library; 2017; 36: 2887–2901.
McPherson A, Roth A, Ha G, Chauve C, Steif A, de Souza CPE, et al. ReMixT: clone-specific genomic structure estimation in cancer. Genome Biology. 2017; 18.
Nolde N, Ziegel J. Elicitability and backtesting: Perspectives for banking regulation. The Annals of Applied Statistics. 2017; 11: 1833--1874.
Panagiotelis A, Czado C, Joe H, Stoeber J. Model selection for discrete regular vine copulas. COMPUTATIONAL STATISTICS & DATA ANALYSIS. 2017; 106: 138-152. DOI: 10.1016/j.csda.2016.09.007
Salehi S, Steif A, Roth A, Aparicio S, Bouchard-Côté A, Shah SP. ddClone: joint statistical inference of clonal populations from single-cell and bulk tumor sequencing data. Genome Biology. 2017; 18.
Straub J, Campbell T, How JP, Fisher J. Efficient global point cloud alignment using Bayesian nonparametric mixtures. In IEEE Conference on Computer Vision and Pattern Recognition. 2017.
Tomal JH, Welch WJ, Zamar RH. Discussion of Random-Projection Ensemble Classification by T. I. Cannings and R. J. Samworth. Journal of the Royal Statistical Society B [Internet]. 2017; 79: 1024-1025. DOI: 10.1111/rssb.12228 URL: http://dx.doi.org/10.1111/rssb.12228
Vanetti P, Bouchard-Côté A, Deligiannidis G, Doucet A. Piecewise Deterministic Markov Chain Monte Carlo. arXiv. 2017; 1707.05296.
Ye Q, Wu L. Two-Step and Likelihood Methods for Joint Models of Longitudinal and Survival Data. Communication in Statistics. 2017; 46(8).
Zhai Y, Bouchard-Côté A. A Poissonian model of indel rate variation for phylogenetic tree inference. Systematic Biology. 2017; 66: 698–714.
Zhai Y, Bouchard-Côté A. A Poissonian model of indel rate variation for phylogenetic tree inference. Systematic Biology. 2017; (Accepted).
Zhang T, Kingwell E, Zhu F, Petkau J, Kastrukoff LF, Marrie RA, et al. Effects of adherence to the first-generation injectable immunomodulatory drugs on disability accumulation in multiple sclerosis: a longitudinal cohort study. British Medical Journal Open [Internet]. 2017; 7: ID e018612, 7 pages. DOI: 10.1136/bmjopen-2017-018612 URL: https://bmjopen.bmj.com/content/7/9/e018612

2016

Bierkens J, Bouchard-Côté A, Doucet A, Duncan AB, Fearnhead P, Roberts G, et al.. Piecewise Deterministic Markov Processes for Scalable Monte Carlo on Restricted Domains. arXiv. 2016; 1701.04244.
Cai S, Chen J. Empirical Likelihood Inference Under Density Ratio Models Based on Type I Censored Samples: Hypothesis Testing and Quantile Estimation. In Advanced Statistical Methods in Data Science. Springer Singapore; 2016. pp. 123–151.
Cai D, Campbell T, Broderick T. Edge-exchangeable graphs and sparsity. In Advances in Neural Information Processing Systems. 2016.
Cai Y, Zidek JV. Estimating the damage caused by proof loading lumber products. 2016 . Report No.: 277.
Casquilho-Resende CM, Le ND, Zidek JV. Spatio-temporal Modelling of Temperature Fields in the Pacific Northwest. arXiv:1604.00572 [Internet]. 2016;. URL: https://arxiv.org/abs/1604.00572
Chen J, Li P, Liu Y, Zidek JV. Monitoring test under nonparametric random effects model. arXiv preprint arXiv:1610.05809. 2016;.
Chen J, Li S, Tan X. Consistency of the penalized MLE for two-parameter gamma mixture models. Science China Mathematics. 2016; 59: 2301–2318.

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