Research

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Publications by Department Members

2018

Krupskii P, Huser R, Genton M. Factor copula models for replicated spatial data. Journal of the American Statistical Association,. 2018;to appear.
Krupskii P, Joe H, Lee D, Genton M. Extreme value limit of the convolution of exponential and multivariate normal distributions: Link to the Husler- Reiss distribution. Journal of Multivariate Analysis. 2018;163:80-95.
Lee D, Joe H, Krupskii P. Tail-weighted dependence measures with limit being tail dependence coefficient. Journal of Nonparametric Statistics. 2018;to appear.
Liu Y, Salibian-Barrera M, Zamar R, Zidek JV. Using artificial censoring to improve extreme tail quantile estimates. Applied Statistics. 2018;:Accepted Dec 4, 2017.
Liu Y, Salibian-Barrera M, Zamar RH, Zidek JV. Using Artificial Censoring to Improve Extreme Tail Quantile Estimates. Journal of the Royal Statistical Society Series C [Internet]. 2018;67(4):791-812. https://doi.org/10.1111/rssc.12262
Nolde N, Zhang J. Conditional extremes in asymmetric financial markets. Journal of Business & Economic Statistics. 2018;.
Resende-Casquilho C, Le ND, Zidek JV. Design of Monitoring Networks using k-Determinantal Point Processes. Environmetrics. 2018;29:Accepted Oct 14, 2017.
Shaddick G, Thomas M, Jobling A, Brauer M, van Donkelaar A, Burnett R, et al. Data Integration Model for Air Quality: A HierarchicalApproach to the Global Estimation of Exposures to Ambient Air Pollution. Applied Statistics. 2018;67:231-253.
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.
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.
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;.
Zhu G, Chen J. Multi-Parameter One-Sided Monitoring Tests. Technometrics. 2018;60:398–407.
Zidek JV, LUM CONROY. Statistical challenges in assessing the engineering properties of forest products. Annual review of statistics and its application - invitation only. 2018;5:237-264.

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.

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