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Publications by Department Members


Campbell T, Broderick T. Automated scalable Bayesian inference via Hilbert coresets. arXiv:1710.05053. Submitted;.
Freue GVCohen, Kepplinger D, Salibian-Barrera M, Smucler E. Proteomic biomarker study using novel robust penalized elastic net estimators. Annals of Applied Statistics. Submitted.
Huggins J, Campbell T, Kasprzak M, Broderick T. Scalable Gaussian process inference with finite-data mean and variance guarantees. arXiv:1806.10234. Submitted;.

In Press

Campbell T, Huggins J, How J, Broderick T. Truncated random measures. Bernoulli. In Press;.
Campbell T, Kulis B, How J. Dynamic clustering algorithms via small-variance analysis of Markov chain mixture models. IEEE Transactions on Pattern Analysis and Machine Intelligence. In Press;.
Chen J, Liu Y. Small Area Quantile Estimation. International Statistics Review. In Press;.
Dinsdale DR, Salibian-Barrera M. Modelling ocean temperatures from bio-probes under preferential sampling. Annals of Applied Statistics [Internet]. In Press;.
Dinsdale DR, Salibian-Barrera M. Methods for preferential sampling in geostatistics. Journal of the Royal Statistical Society Series C [Internet]. In Press;.
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. In Press;.
Lennox RJ, Engler-Palma C, Kowarski K, Filous A, Whitlock R, Cooke SJ, et al. Optimizing marine spatial plans with animal tracking data. Canadian Journal of Fisheries and Aquatic Sciences. In Press;.
Maronna RA, Martin DR, Yohai VJ, Salibian-Barrera M. Robust Statistics: Theory and Methods (with R), 2nd Edition [Internet]. Wiley Series in Probability and Statistics. Wiley; In Press.
Zhu G, Chen J. Multi-parameter One-Sided Monitoring Tests. Technometrics. In Press;.


Bierkens J, Bouchard-Côté A, Doucet A, Duncan AB, Fearnhead P, Lienart T, et al.. Piecewise Deterministic Markov Processes for Scalable Monte Carlo on Restricted Domains. Statistics and Probability Letters. 2018;(Accepted).
Cai S, Chen J. Empirical likelihood inference for multiple censored samples. The Canadian Journal of Statistics. 2018;46:232.
Campbell T, Broderick T. Bayesian coreset construction via greedy iterative geodesic ascent. In International Conference on Machine Learning. 2018.
Campbell H, Gustafson P. Conditional equivalence testing: An alternative remedy for publication bias. PloS one. Public Library of Science; 2018;13:e0195145.
Campbell T, Cai D, Broderick T. Exchangeable trait allocations. Electronic Journal of Statistics. 2018;12:2290–2322.
Chang B, Meng L, Haber E, Tung F, Begert D. Multi-level Residual Networks from Dynamical Systems View. In International Conference on Learning Representations [Internet]. 2018.
Chang B, Meng L, Haber E, Ruthotto L, Begert D, Holtham E. Reversible Architectures for Arbitrarily Deep Residual Neural Networks. In AAAI Conference on Artificial Intelligence. 2018.
Chang B, Zhang Q, Pan S, Meng L. Generating Handwritten Chinese Characters Using CycleGAN. In IEEE Winter Conference on Applications of Computer Vision. 2018.
Deligiannidis G, Bouchard-Côté A, Doucet A. Exponential Ergodicity of the Bouncy Particle Sampler. Annals of Statistics. 2018;(Accepted).
Dinsdale DR, Salibian-Barrera M. Methods for preferential sampling in geostatistics. Journal of the Royal Statistical Society Series C. 2018;.
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).
Fu E, Heckman N. Model-based curve registration via stochastic approximation EM algorithm. Computational Statistics and Data Analysis [Internet]. 2018;to appear.
Gustafson P, McCandless LC. When Is a Sensitivity Parameter Exactly That?. Statistical Science. Institute of Mathematical Statistics; 2018;33:86–95.
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.
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.
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 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.
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.
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.
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 Y, Le ND, Zidek JV. Determinental point processes stochastic approximation for combinatorial optimization. Optimization Letters. 2018;.
Wong S, Zidek JV. Dimensional and statistical foundations for accumulated damage models. Wood Science and Technology. 2018;52:45-65.
Wong SWK, Zidek JV. The duration of load effect in lumber as stochastic degradation. IEEE Transactions on Reliability. 2018;:Submitted.
Xia M, Gustafson P. Bayesian inference for unidirectional misclassification of a binary response trait. Statistics in medicine. Wiley Online Library; 2018;37:933–947.
Yang C-H, Zidek JV, Wong SWK. Bayesian analysis of accumulated damage models in lumber reliability. Technometrics. 2018;.