Research

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Publications by Department Members

Submitted

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;.
Watson J, Joy R, Tollit D, Thornton SJ, Auger-Méthé M. A general framework for estimating the spatio-temporal distribution of a species using multiple data types. 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;.
Högg T, Zhao Y, Gustafson P, Petkau J, Fisk J, Marrie RAnn, et al.. Adjusting for differential misclassification in matched case-control studies utilizing health administrative data. Statistics in Medicine. 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;.

2021

Ju X, Salibian-Barrera M. Robust Boosting for Regression Problems. Computational Statistics and Data Science [Internet]. 2021;153. https://arxiv.org/abs/2002.02054
Pan S, Fan S, Wong S, Zidek JV, Rhodin H. Ellipse Detection and Localization with Application to Knots in Sawn Lumber I. 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). 2021.

2020

Boente G, Salibian-Barrera M, Vena P. Robust estimation for semi-functional linear regression models. Computational Statistics and Data Science [Internet]. 2020;152. https://arxiv.org/abs/2006.16156
Lee TYoon, Zidek JV, Heckman N. Dimensional Analysis in Statistical Modelling. Statistical Science. 2020;:Submitted.
Lee TYoon, Zidek JV. Scientific versus statistical modelling: a unifying approach. arXiv preprint arXiv:2002.11259. 2020 .
Pan S, Fan S, Wong SWK, Zidek JV, Rhodin H. Ellipse Detection and Localization with Applications to Knots in Sawn Lumber Images. arXiv preprint arXiv:2011.04844. 2020 .
Sadatsafavi M, McCormack J, Lee TY, Petkau J, Lynd L, Sin D. Should the number of acute exacerbations in the previous year be used to guide treatments in COPD? . European Journal of Epidemiology. 2020;35:To appear.
Thomas ML, Shaddick G, Simpson D, de Hoogh K, Zidek JV. Spatio-temporal downscaling for continental scale estimation of air pollution concentrations. Journal of the Royal Statistical Society: Series C. 2020;:Submitted.
Wang Y, Le ND, Zidek JV. Approximately Optimal Spatial Design: How Good is it?. Spatial Statistics. 2020;:To appear.

2019

Chang B, Chen M, Haber E, Chi EH. AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. In International Conference on Learning Representations [Internet]. 2019. https://openreview.net/forum?id=ryxepo0cFX
Chang B, Joe H. Prediction based on conditional distributions of vine copulas. Computational Statistics & Data Analysis. 2019;139:45–63.
Chang B, Pan S, Joe H. Vine Copula Structure Learning via Monte Carlo Tree Search. In International Conference on Artificial Intelligence and Statistics. 2019.
Chen J, Liu Y. Small area quantile estimation. International Statistical Review. 2019;87:S219–S238.
Chen J, Feng Z. A discussion of ‘prior-based Bayesian information criterion’. Statistical Theory and Related Fields. 2019;:1–3.
Cohen-Freue GV, Kepplinger D, Salibian-Barrera M, Smucler E. Robust elastic net estimators for variable selection and identification of proteomic biomarkers. Annals of Applied Statistics [Internet]. 2019;13(4):2065-2090. http://dx.doi.org/10.1214/19-AOAS1269
Deligiannidis G, Bouchard-Côté A, Doucet A. Exponential Ergodicity of the Bouncy Particle Sampler. Annals of Statistics. 2019;47:1268–1287.
Dinsdale DR, Salibian-Barrera M. Methods for preferential sampling in geostatistics. Journal of the Royal Statistical Society Series C [Internet]. 2019;68(1):198. https://dx.doi.org/10.1111/rssc.12286
Dinsdale DR, Salibian-Barrera M. Modelling ocean temperatures from bio-probes under preferential sampling. Annals of Applied Statistics [Internet]. 2019;13(2):713-745. https://arxiv.org/abs/1901.02630
Fu E, Heckman N. Model-based curve registration via stochastic approximation EM algorithm. Computational Statistics and Data Analysis [Internet]. 2019;131. https://arxiv.org/abs/1712.07265
Högg T, Zhao Y, Gustafson P, Petkau J, Fisk J, Marrie RA, et al.. Adjusting for differential misclassification in matched case-control studies utilizing health administrative data. Statistics in Medicine. 2019;38:3669-3681.
Jun S-H, Wong SWK, Zidek JV, Bourchard-Cote A. Sequential decision model for inference and prediction on non-uniform hypergraphs with application to knot matching from computational forestry. Annals of Applied Statistics. 2019;13:1678-1707 .
Karim ME, Petkau J, Gustafson P, Platt RW. Comparison of statistical approaches dealing with time-dependent confounding in drug effectiveness studies. Statistical Methods in Medical Research. 2019;28:323-324 .
Kingwell E, Leray E, Zhu F, Petkau J, Edan G, Oger J, et al. Multiple sclerosis: Effect of beta-interferon treatment on survival. Brain. 2019;142:1324-1333.
Surjanovic S, Welch WJ. Adaptive Partitioning Design and Analysis for Emulation of a Complex Computer Code. arXiv preprint arXiv:1907.01181. 2019;.
Wang L, Wang S, Bouchard-Côté A. An Annealed Sequential Monte Carlo Method for Bayesian Phylogenetics. Systematic Biology. 2019;(Accepted).
Wang Y, Le ND, Zidek JV. Determinental point processes stochastic approximation for combinatorial optimization. Optimization Letters. 2019;.
Watson J, V. Zidek J, Shaddick G. A general theory for preferential sampling in environmental networks. Annals of Applied Statistics. 2019;:2662-2700.
Watson J, Zidek JV, Shaddick G. A General Theory for Preferential Sampling in Environmental Networks. Annals of Applied Statistics. 2019;:Accepted.
Wong SWK, Zidek JV. The duration of load effect in lumber as stochastic degradation. IEEE Transactions on Reliability. 2019;:410-419.
Yang C-H, Zidek JV, Wong SWK. Bayesian analysis of accumulated damage models in lumber reliability. Technometrics. 2019;61:1-14.

2018

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;136:148–154.
Cai S, Chen J. Empirical likelihood inference for multiple censored samples. The Canadian Journal of Statistics. 2018;46:232.
Campbell T, Cai D, Broderick T. Exchangeable trait allocations. Electronic Journal of Statistics. 2018;12:2290–2322.
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.
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.

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