Research

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Publications by Department Members

2018

Resende-Casquilho C, Le ND, Zidek JV. Design of Monitoring Networks using k-Determinantal Point Processes. Environmetrics. 2018;29:Accepted Oct 14, 2017.
Shupler M, Godwin W, Frostad J, Gustafson P, Arku RE, Brauer M. Global estimation of exposure to fine particulate matter (PM2. 5) from household air pollution. Environment international. Elsevier; 2018;120:354–363.
Wang Y, Le ND, Zidek JV. Determinental point processes stochastic approximation for combinatorial optimization. Optimization Letters. 2018;.
Wong S, Zidek JV. Dimensional and statistical foundations for accumulated damage models. Wood Science and Technology. 2018;52:45-65.
Xia M, Gustafson P. Bayesian inference for unidirectional misclassification of a binary response trait. Statistics in medicine. Wiley Online Library; 2018;37:933–947.
Yang C-H, Zidek JV, Wong SWK. Bayesian analysis of accumulated damage models in lumber reliability. Technometrics. 2018;.
Zhao B, Chang B, Jie Z, Sigal L. Modular Generative Adversarial Networks. In European Conference on Computer Vision. 2018.
Zhou G, Wu L. Modeling semi-continuous longitudinal data with order constraints. Statistics in Medicine. 2018;.

2017

Béliveau A, Goring S, Platt RW, Gustafson P. Network meta-analysis of disconnected networks: How dangerous are random baseline treatment effects?. Research synthesis methods. Wiley Online Library; 2017;8:465–474.
Boente G, Martínez A, Salibian-Barrera M. Robust estimators for additive models using backfitting. Journal of Nonparametric Statistics [Internet]. Taylor & Francis; 2017;29:744-767. https://doi.org/10.1080/10485252.2017.1369077
Bouchard-Côté A, Doucet A, Roth A. Particle Gibbs split-merge sampling for Bayesian inference in mixture models. Journal of Machine Learning Research. 2017;18:1–39.
Bouchard-Côté A, Vollmer SJ, Doucet A. The Bouncy Particle Sampler: A non-reversible rejection-free Markov chain Monte Carlo method. Journal of the American Statistical Association. 2017;(Accepted).
Burstyn I, Gustafson P, Pintos J, Lavoué J, Siemiatycki J. Correction of odds ratios in case-control studies for exposure misclassification with partial knowledge of the degree of agreement among experts who assessed exposures. Occup Environ Med. BMJ Publishing Group Ltd; 2017;:oemed–2017.
Cai S, Chen J, Zidek JV. Hypothesis testing in the presence of multiple samples under density ratio models. Statistica Sinica. 2017;27:716–783.
Campbell H, Gustafson P. Conditional Equivalence Testing: an alternative remedy for publication bias. arXiv preprint arXiv:1710.01771. 2017;.
Casquilho-Resende CM, Le ND, Zidek JV. Spatio-temporal modelling of temperature fields in the Pacific Northwest. Environmetrics. 2017;:Resubmitted.
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.
de Souza CPE, Heckman NE, Xu F. Switching nonparametric regression models for multi-curve data. Canadian Journal of Statistics [Internet]. 2017;45:442–460. http://dx.doi.org/10.1002/cjs.11331
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).
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.
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.
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.
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. 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.
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.

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