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2017
Campbell, H. & Gustafson, P., 2017. Conditional Equivalence Testing: an alternative remedy for publication bias. arXiv preprint arXiv:1710.01771.
Chen, J., 2017. Consistency of the MLE under mixture models. Statistical Science, 32, pp.47–63.
Krupskii, P., 2017. Copula-based measures of reflection and permutation asymmetry and statistical tests. Statistical Papers, 58(4), pp.1165-1187.
Tomal, J.H., Welch, W.J. & Zamar, R.H., 2017. Discussion of Random-Projection Ensemble Classification by T. I. Cannings and R. J. Samworth. Journal of the Royal Statistical Society B, 79, pp.1024-1025. Available at: http://dx.doi.org/10.1111/rssb.12228.
Lindsten, F. et al., 2017. Divide-and-conquer with sequential Monte Carlo. Journal of Computational Statistics and Graphics, 26, pp.445–458.
Lindsten, F. et al., 2017. Divide-and-conquer with sequential Monte Carlo. Journal of Computational Statistics and Graphics, 26, pp.445–458.
Straub, J. et al., 2017. Efficient global point cloud alignment using Bayesian nonparametric mixtures. In IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition.
Nolde, N. & Ziegel, J., 2017. Elicitability and backtesting: Perspectives for banking regulation. The Annals of Applied Statistics, 11, p.1833--1874.
Deligiannidis, G., Bouchard-Côté, A. & Doucet, A., 2017. Exponential ergodicity of the Bouncy Particle Sampler. arXiv, 1705.04579.
Krupskii, P. & Genton, M., 2017. Factor copula models for data with spatio-temporal dependence. Spatial Statistics, 22(1), pp.180-195.
Chen, J., 2017. On finite mixture models. Statistical Theory and Related Fields, 1, pp.15–27.
Chen, H., Loeppky, J.L. & Welch, W.J., 2017. Flexible Correlation Structure for Accurate Prediction and Uncertainty Quantification in Bayesian Gaussian Process Emulation of a Computer Model. SIAM/ASA Journal on Uncertainty Quantification, 5, pp.598–620. Available at: https://doi.org/10.1137/15M1008774.
Islam, N. et al., 2017. Hepatitis C cross-genotype immunity and implications for vaccine development. Scientific reports, 7, p.12326.
Cai, S., Chen, J. & Zidek, J.V., 2017. Hypothesis testing in the presence of multiple samples under density ratio models. Statistica Sinica, 27, pp.716–783.
Islam, N. et al., 2017. Incidence, risk factors, and prevention of hepatitis C reinfection: a population-based cohort study. The Lancet Gastroenterology & Hepatology, 2, pp.200–210.
McDonald, D.J., 2017. Minimax Density Estimation for Growing Dimension A. Singh & Zhu, J. , eds. Proceedings of the Twentieth International Conference on Artificial Intelligence and Statistics (AISTATS), 54, pp.194–203. Available at: http://proceedings.mlr.press/v54/mcdonald17a.html.

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