Research

Research

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

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, V. Zidek J, Shaddick G. A general theory for preferential sampling in environmental networks. 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;. https://arxiv.org/abs/1901.02630
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;.
Zhu G, Chen J. Multi-parameter One-Sided Monitoring Tests. Technometrics. In Press;.

2019

al. KRCampbell. clonealign: statistical integration of independent single-cell RNA & DNA-seq from human cancers. Genome Biology. 2019;(Accepted).
Chang B, Pan S, Joe H. Vine Copula Structure Learning via Monte Carlo Tree Search. In International Conference on Artificial Intelligence and Statistics. 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
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
Wang L, Wang S, Bouchard-Côté A. An Annealed Sequential Monte Carlo Method for Bayesian Phylogenetics. Systematic Biology. 2019;(Accepted).
Wong SWK, Zidek JV. The duration of load effect in lumber as stochastic degradation. IEEE Transactions on Reliability. 2019;:To appear.

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 H, Gustafson P. The Validity and Efficiency of Hypothesis Testing in Observational Studies with Time-Varying Exposures. Observational Studies [Internet]. 2018;. https://obsstudies.org/validity-efficiency-hypothesis-testing-observational-studies-time-varying-exposures/
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.
Campbell K, Bouchard-Côté A, Shah S. Probabilistic inference of clonal gene expression through integration of RNA & DNA-seq at single-cell resolution. In HitSeq. 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.
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. https://openreview.net/forum?id=SyJS-OgR-
Dinsdale DR, Salibian-Barrera M. Methods for preferential sampling in geostatistics. Journal of the Royal Statistical Society Series C. 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.
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. https://arxiv.org/abs/1712.07265
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. http://journals.sagepub.com/doi/abs/10.1177/0962280216668554
Kepplinger D, Smucler E, Freue GVCohen. Improved Robust Estimation of the Residual Scale in High-Dimensional Problems with the Adaptive Elastic Net S-Estimator for Efficient Robust Penalized Linear Regression Methods. In JSM 2018. Vancouver, Canada; 2018.
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, 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.
Krupskii P, Genton M. Linear Factor Copula Models and Their Properties. Scandinavian Journal of Statistics. 2018;to appear.
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 R, Zidek JV. Using artificial censoring to improve extreme tail quantile estimates. Applied Statistics. 2018;:Accepted Dec 4, 2017.
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. https://doi.org/10.1111/rssc.12262
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.
Sadatsafavi M, Gustafson P, Zafari Z, Sin DD. Relative impact characteristic curve: a graphical tool to visualize and quantify the clinical utility and population-level consequences of implementing markers. Annals of epidemiology. Elsevier; 2018;.
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;.
Wang W, Welch WJ. Bayesian Optimization Using Monotonicity Information and Its Application in Machine Learning Hyperparameter Tuning. In Proceedings of AutoML 2018 @ ICML/IJCAI-ECAI [Internet]. 2018. https://sites.google.com/site/automl2018icml/accepted-papers/59.pdf

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