Research

Research

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  1. Department of Statistics
  2. Research
  3. Publications by Department Members

Publications by Department Members

2018

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.
Maronna RA, Martin DR, Yohai VJ, Salibian-Barrera M. Robust Statistics: Theory and Methods (with R). 2nd ed. Wiley Series in Probability and Statistics. New York: John Wiley & Sons Ltd ; 2018. p. 464. DOI: 10.1002/9781119214656 Software: https://github.com/msalibian/RobStatTM, https://cran.r-project.org/package=RobStatTM
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.
Sadatsafavi M, Gustafson P, Zafari Z, Sin DD. Relative impact characteristic curve: a graphical tool to visualize and quantify the clinical utility and population-level consequences of implementing markers. Annals of epidemiology. Elsevier; 2018;.
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.
Wang W, Welch WJ. Bayesian Optimization Using Monotonicity Information and Its Application in Machine Learning Hyperparameter Tuning. In Proceedings of AutoML 2018 @ ICML/IJCAI-ECAI [Internet]. 2018. URL: https://sites.google.com/site/automl2018icml/accepted-papers/59.pdf
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.
Yu T, Wu L, Gilbert P. A joint model for mixed and censored longitudinal data and survival data, with application to HIV vaccine studies. Biostatistics. 2018; 19(3).
Zhang H, Wu L. A Mechanistic Nonlinear Model for Truncated and Mis-Measured Time-varying Covariates in Survival Models, with Applications in HIV/AIDS. Journal of the Royal Statistical Society, C. 2018;.
Zhang A, others . Interfaces of Malignant and Immunologic Clonal Dynamics in Ovarian Cancer. Cell. 2018; 173: 1755–1769.
Zhang A, others . Interfaces of Malignant and Immunologic Clonal Dynamics in Ovarian Cancer. Cell. 2018; (Accepted).
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.
Zhuang W, Hu B, Chen J. Semiparametric inference for the dominance index under the density ratio model. Biometrika. 2018;.
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. DOI: 10.1080/10485252.2017.1369077 URL: https://doi.org/10.1080/10485252.2017.1369077 Software: https://github.com/msalibian/RBF
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).
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.
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.
Chen H, Loeppky JL, Welch WJ. Flexible Correlation Structure for Accurate Prediction and Uncertainty Quantification in Bayesian Gaussian Process Emulation of a Computer Model. SIAM/ASA Journal on Uncertainty Quantification [Internet]. 2017; 5: 598–620. DOI: https://doi.org/10.1137/15M1008774 URL: https://doi.org/10.1137/15M1008774
Chen H, Loeppky J, Welch W. Flexible Correlation Structure for Accurate Prediction and Uncertainty Quantification in Bayesian Gaussian Process Emulation of a Computer Model. SIAM/ASA Journal on Uncertainty Quantification [Internet]. 2017; 5(1): 620. URL: http://epubs.siam.org/doi/abs/10.1137/15M1008774
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 L, McDonald DJ. Predicting phenotypes from microarrays using amplified, initially marginal, eigenvector regression. Bioinformatics [Internet]. 2017; 33: i350–i358. URL: http://dx.doi.org/10.1093/bioinformatics/btx265
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. 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
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.
Homrighausen D, McDonald DJ. Risk consistency of cross-validation for lasso-type procedures. Statistica Sinica [Internet]. 2017; 27: 1017–1036. URL: http://dx.doi.org/10.5705/ss.202015.0355
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 decision model for inference and prediction on non-uniform hypergraphs with application to knot matching from computational forestry. arXiv. 2017; 1708.07592.
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.
Jun S-H, Wong SWK, Zidek JV, Bouchard-Côté A. Sequential Graph Matching with Sequential Monte Carlo. In AISTATS. 2017. pp. 1075–1084.
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

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