Research

Subscribe to email list

Please select the email list(s) to which you wish to subscribe.

User menu

You are here

Publications by Department Members

2018

Dorri F, Jewell S, Bouchard-Côté A, Shah S. MuClone: somatic mutation detection and classification through probabilistic integration of clonal population information. Communications Biology. 2018; 2: 1–10.
Fernandez M, Ban F, Woo G, Hsing M, Yamazaki T, LeBlanc E, et al. Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic Images. Journal of Chemical Information and Modeling. 2018;(in press).
Gomulkiewicz R, Kingsolver J, Carter P, Heckman N. Variation and evolution of function-valued traits. Annual Review of Ecology, Evolution, and Systematics. 2018; 49(1).
Gustafson P, McCandless LC. When Is a Sensitivity Parameter Exactly That?. Statistical Science. Institute of Mathematical Statistics; 2018; 33: 86–95.
Högg T, Wijnands J, Kingwell E, Zhu F, Lu X, Evans C, et al.. Mining healthcare data for markers of the multiple sclerosis prodrome. Multiple Sclerosis and Related Disorders. 2018;.
Joe H. Parsimonious graphical dependence models constructed from vines. Canadian Journal of Statistics. 2018; 46: 532-555. DOI: 10.1002/cjs.11481
Joe H. Dependence properties of conditional distributions of some copula models. Methodology and Computing in Applied Probability. 2018; 20: 975-1001. DOI: 10.1007/s11009-017-9544-9 ISSN = 1387-5841
Karim MEhsanul, Petkau J, Gustafson P, Platt RW, Tremlett H, Group BAMSStudy. Comparison of statistical approaches dealing with time-dependent confounding in drug effectiveness studies. Statistical methods in medical research. SAGE Publications Sage UK: London, England; 2018; 27: 1709–1722.
Karim ME, Petkau J, Gustafson P, Platt RW, Tremlett H, Group BAMSStudy. Comparison of statistical approaches dealing with time-dependent confounding in drug effectiveness studies. Statistical Methods in Medical Research [Internet]. 2018; 27 : 1709-1722. DOI: 10.1177/0962280216668554 URL: http://journals.sagepub.com/doi/abs/10.1177/0962280216668554
Kepplinger D, Freue GVCohen. Improving the Robust Estimation of the Residual Scale in High Dimensional Regression Problems with Refitted Cross-Validation using an Elastic Net S-Estimator. In 46th Annual Meeting of the Statistical Society of Canada. Montreal, Canada; 2018.
Kondo Y, Zidek JV, Taylor CG, van Eeden C. Bayesian subset selection procedures with an application to lumber strength properties. Sankhya Ser A. 2018;: Accepted Aug 08, 2018.
Kondo Y, Zidek JV, Taylor CG, van Eeden C. Subset selection procedures with an application to lumber strength properties. Sanhkya Ser B. 2018; 80: 146-172.
Krupskii P, Genton M. Linear Factor Copula Models and Their Properties. Scandinavian Journal of Statistics. 2018; to appear.
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 the tail dependence coefficient. Journal of Nonparametric Statistics. 2018; 30: 262-290. DOI: 10.1080/10485252.2017.1407414
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 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. DOI: 10.1111/rssc.12262 URL: https://doi.org/10.1111/rssc.12262
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.
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.
Zhang A, others . Interfaces of Malignant and Immunologic Clonal Dynamics in Ovarian Cancer. Cell. 2018; 173: 1755–1769.
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. 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. On finite mixture models. Statistical Theory and Related Fields. Taylor & Francis; 2017; 1: 15–27.

Pages