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Piecewise Deterministic Markov Processes for Scalable Monte Carlo on Restricted Domains. Statistics and Probability Letters, 136, pp.148–154.

, 2018. , 2018.

, 2018.

Reversible Architectures for Arbitrarily Deep Residual Neural Networks. In AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence.

, 2018. Robust Statistics: Theory and Methods (with R) 2nd ed., New York: John Wiley & Sons Ltd .

, 2018. , 2018.

Statistical challenges in assessing the engineering properties of forest products. Annual review of statistics and its application - invitation only, 5, pp.237-264.

, 2018. A study on tuning parameter selection for the high-dimensional lasso. Journal of Statistical Computation and Simulation, 88, pp.2865–2892. Available at: http://dx.doi.org/10.1080/00949655.2018.1491575.

, 2018. Subset selection procedures with an application to lumber strength properties. Sanhkya Ser B, 80, pp.146-172.

, 2018. Tail-weighted dependence measures with limit being tail dependence coefficient. Journal of Nonparametric Statistics, to appear.

, 2018. Tail-weighted dependence measures with limit being the tail dependence coefficient. Journal of Nonparametric Statistics, 30, pp.262-290.

, 2018. Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic Images. Journal of Chemical Information and Modeling, (in press).

, 2018. Using Artificial Censoring to Improve Extreme Tail Quantile Estimates. Journal of the Royal Statistical Society Series C, 67(4), pp.791-812. Available at: https://doi.org/10.1111/rssc.12262.

, 2018. Using artificial censoring to improve extreme tail quantile estimates. Applied Statistics, p.Accepted Dec 4, 2017.

, 2018. , 2018.

Variation and evolution of function-valued traits. Annual Review of Ecology, Evolution, and Systematics, 49(1).

, 2018. When Is a Sensitivity Parameter Exactly That?. Statistical Science, 33, pp.86–95.

, 2018. , 2017.

On the application of statistical learning approaches to construct inverse probability weights in marginal structural cox models: hedging against weight-model misspecification. Communications in Statistics-Simulation and Computation, 46, pp.7668–7697.

, 2017. On the application of statistical learning approaches to construct inverse probability weights in marginal structural Cox models: Hedging against weight-model misspecification. Communications in Statistics - Simulation and Computation, 46, pp.7668-7697.

, 2017. Bayesian analysis of pair-matched case-control studies subject to outcome misclassification. Statistics in Medicine, 36(26).

, 2017. Bayesian analysis of pair-matched case-control studies subject to outcome misclassiﬁcation. Statistics in Medicine, 36, pp.4196-4213.

, 2017. Bayesian analysis of pair-matched case-control studies subject to outcome misclassification. Statistics in medicine, 36, pp.4196–4213.

, 2017. , 2017.

The Bouncy Particle Sampler: A non-reversible rejection-free Markov chain Monte Carlo method. Journal of the American Statistical Association, (Accepted).

, 2017.