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Research

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

Publications by Department Members

2017

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.
Kondo Y, Zhao Y, Petkau J. Identification of treatment responders based on multiple longitudinal outcomes with applications to multiple sclerosis patients. Statistics in Medicine. 2017; 36: 1862-1883. DOI: 10.1002/sim.7230
Krupskii P, Genton M. Factor copula models for data with spatio-temporal dependence. Spatial Statistics. 2017; 22(1): 180-195.
Krupskii P. Copula-based measures of reflection and permutation asymmetry and statistical tests. Statistical Papers. 2017; 58(4): 1165-1187.
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).
Leung A, Yohai V, Zamar R. Multivariate Location and Scatter Matrix Estimation Under Cellwise and Casewise Contamination. CSDA. 2017;. DOI: 10.1016/j.csda.2017.02.007
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.
McDonald DJ, Shalizi CRohilla, Schervish M. Nonparametric risk bounds for time-series forecasting. Journal of Machine Learning Research [Internet]. 2017; 18: 1–40. URL: http://www.jmlr.org/papers/v18/13-336.html
McDonald DJ. Minimax Density Estimation for Growing Dimension [Internet]. Singh A, Zhu J. Proceedings of the Twentieth International Conference on Artificial Intelligence and Statistics (AISTATS). PMLR; 2017. pp. 194–203. URL: http://proceedings.mlr.press/v54/mcdonald17a.html
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.
Meng VYun, Gustafson P. Inferring population size: extending the multiplier method to incorporate multiple traits with a likelihood-based approach. Stat. Wiley Online Library; 2017; 6: 4–13.
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; (Accepted).
Zhai Y, Bouchard-Côté A. A Poissonian model of indel rate variation for phylogenetic tree inference. Systematic Biology. 2017; 66: 698–714.
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 Y, Zidek JV. Estimating the damage caused by proof loading lumber products. 2016 . Report No.: 277.
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.
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 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 H, Welch WJ. Comment: Expected Improvement for Efficient Blackbox Constrained Optimization. Technometrics [Internet]. 2016; 58: 12–15. URL: http://www.tandfonline.com/doi/full/10.1080/00401706.2015.1044119
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;.
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
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
Homrighausen D, McDonald DJ. On the Nyström and Column-Sampling Methods for the Approximate Principal Components Analysis of Large Data Sets. Journal of Computational and Graphical Statistics [Internet]. 2016; 25: 344–362. URL: http://dx.doi.org/10.1080/10618600.2014.995799

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