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2016
Khalili, A., Chen, J. & Stephens, D.A., 2016. Regularization in Regime-Switching Gaussian Autoregressive Models. In Advanced Statistical Methods in Data Science. Advanced Statistical Methods in Data Science. Springer Singapore, pp. 13–34.
Leung, A., Zhang, H. & Zamar, R., 2016. Robust regression estimation and inference in the presence of cellwise and casewise contamination. Computational Statistics & Data Analysis.
Salibian-Barrera, M., Van Aelst, S. & Yohai, V.J., 2016. Robust tests for linear regression models based on tau-estimates. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 93, pp.436-455.
Kondo, Y., Salibian-Barrera, M. & Zamar, R., 2016. RSKC: An R Package for a Robust and Sparse K-Means Clustering Algorithm. Journal of Statistical Software, 72, pp.1–26. Available at: https://www.jstatsoft.org/index.php/jss/article/view/v072i05.
Chen, J., Li, P. & Liu, Y., 2016. Sample-size calculation for tests of homogeneity. Canadian Journal of Statistics, 44, pp.82–101.
Yu, X., Chen, J. & Brant, R., 2016. Sequential design for binary dose–response experiments. Journal of Statistical Planning and Inference, 177, pp.64–73.
Yu, X., Chen, J. & Brant, R., 2016. Sequential design for binary dose–response experiments. Journal of Statistical Planning and Inference, 177, pp.64–73.
Casquilho-Resende, C.M., Le, N.D. & Zidek, J.V., 2016. Spatio-temporal Modelling of Temperature Fields in the Pacific Northwest. arXiv:1604.00572. Available at: https://arxiv.org/abs/1604.00572.
Chen, J. & Li, P., 2016. Testing the Order of a Normal Mixture in Mean. Communications in Mathematics and Statistics, 4, pp.21–38.
Chen, J. & Li, P., 2016. Testing the Order of a Normal Mixture in Mean. Communications in Mathematics and Statistics, 4, pp.21–38.
Shahriari, B., Bouchard-Côté, A. & de Freitas, N., 2016. Unbounded Bayesian optimization via regularization. In AISTATS. AISTATS. pp. 1168–1176.
Gattiker, J.R. et al., 2016. Using a Gaussian Process as a Nonparametric Regression Model. Quality and Reliability Engineering International, 32, pp.673–680.
Cheng, L. et al., 2016. Wood Property Relationships and Survival Models in Reliability. Applied Stochastic Models in Business and Industry, 32, pp.792-803.
2015
Jewell, S., Spencer, N. & Bouchard-Côté, A., 2015. Atomic spatial processes. In International Conference on Machine Learning (ICML). International Conference on Machine Learning (ICML). pp. 248–256.
Marchant, E.A. et al., 2015. Attenuated innate immune defenses in very premature neonates during the neonatal period. Pediatr. Res., 78, pp.492–497.
Liu, Y. et al., 2015. Automatic Learning of Basketball Strategy via SportVU Tracking Data: the Potential Field Approach. Submitted to Sloan Sports Analytics Conference.
Zhao, T. et al., 2015. Bayesian analysis of continuous time Markov chains with application to phylogenetic modelling. Bayesian Analysis, 11, pp.1203–1237.

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