Research

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Publications by Department Members

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, Huang Y, Wang P. Composite likelihood under hidden Markov model. Statistica Sinica. C/O DR HC HO, INST STATISTICAL SCIENCE, ACADEMIA SINICA, TAIPEI 115, TAIWAN; 2016; 26: 1569–1586.
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. Science China Press; 2016; 59: 2301–2318.
Chen J, Huang Y, Wang P. Composite likelihood under hidden Markov model. Statistica Sinica. 2016; 26: 1569–1586.
Chen J, Li P. Testing the Order of a Normal Mixture in Mean. Communications in Mathematics and Statistics. 2016; 4: 21–38.
Chen J, Li P. Testing the Order of a Normal Mixture in Mean. Communications in Mathematics and Statistics. Springer Berlin Heidelberg; 2016; 4: 21–38.
Chen J, Li P, Liu Y. Sample-size calculation for tests of homogeneity. Canadian Journal of Statistics. 2016; 44: 82–101.
Chen H, Loeppky JL, Sacks J, Welch WJ. Analysis Methods for Computer Experiments: How to Assess and What Counts?. Statistical Science [Internet]. 2016; 31: 40–60. DOI: https://dx.doi.org/10.14288/1.0302078 URL: https://dx.doi.org/10.14288/1.0302078
Chen H, Loeppky JL, Sacks J, Welch WJ. Analysis Methods for Computer Experiments: How to Assess and What Counts?. Statistical Science [Internet]. 2016; 31(1): 40-60. URL: http://projecteuclid.org/euclid.ss/1455115913
Chen J, Li S, Tan X. Consistency of the penalized MLE for two-parameter gamma mixture models. Science China Mathematics. 2016; 59: 2301–2318.
Chen J, Li P, Liu Y, Zidek JV. Monitoring test under nonparametric random effects model. arXiv preprint arXiv:1610.05809. 2016;.
Cheng L, Wu L, Lum C, Zidek JV, Yu T. Wood Property Relationships and Survival Models in Reliability. Applied Stochastic Models in Business and Industry. 2016; 32: 792-803.
Cook LS, Pestak C, Leung A, Le N. Combined oral contraceptive use before the first birth and epithelial ovarian cancer risk. British Journal of Cancer . 2016;.
Cook LS, Leung A, Swenerton K, Gallagher RP, Magliocco A, Steed H, et al. Adult lifetime alcohol consumption and invasive epithelial ovarian cancer risk in a population-based case-control study. Gynecologic Oncology. 2016; 140(2): 277-284.
Falasinnu T, Gilbert M, Gustafson P, Shoveller J. A validation study of a clinical prediction rule for screening asymptomatic chlamydia and gonorrhoea infections among heterosexuals in British Columbia. Sexually transmitted infections. BMJ Publishing Group Ltd; 2016; 92: 12–18. DOI: 10.1136/sextrans-2014-051992
Falasinnu T, Gilbert M, Gustafson P, Shoveller J. An assessment of population-based screening guidelines versus clinical prediction rules for chlamydia and gonorrhea case finding. Preventive medicine. Academic Press; 2016; 89: 51–56. DOI: 10.1016/j.ypmed.2016.04.001
Gattiker JR, Hamada MS, Higdon DM, Schonlau M, Welch WJ. Using a Gaussian Process as a Nonparametric Regression Model. Quality and Reliability Engineering International. 2016; 32: 673–680.
Goring SM, Gustafson P, Liu Y, Saab S, Cline SK, Platt RW. Disconnected by design: analytic approach in treatment networks having no common comparator. Research synthesis methods. Wiley Online Library; 2016;. DOI: 10.1002/jrsm.1204
Huggins J, Campbell T, Broderick T. Coresets for scalable Bayesian logistic regression. In Advances in Neural Information Processing Systems. 2016.

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