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2013
Bouchard-Côté, A., 2013. A note on probabilistic models over strings: the linear algebra approach. Bulletin of Mathematical Biology, 75, pp.2529–2550.
Chen, J., 2013. A partial order on uncertainty and information. Journal of Theoretical Probability, 26, pp.349–359.
Heckman, N., Lockhart, R. & Nielsen, J.D., 2013. Penalized regression, mixed effects models and appropriate modelling. ELECTRONIC JOURNAL OF STATISTICS, 7, pp.1517-1552.
Lin, D.* et al., 2013. Plasma protein biosignatures for detection of cardiac allograft vasculopathy. The Journal of Heart and Lung Transplantation, 32, pp.723–733.*Equal contributors.
Hollander, Z. et al., 2013. Predicting acute cardiac rejection from donor heart and pre-transplant recipient blood gene expression. JOURNAL OF HEART AND LUNG TRANSPLANTATION, 32, pp.259-265.
Xu, C., Chen, J. & Mantell, H., 2013. Pseudo-likelihood-based Bayesian information criterion for variable selection in survey data. Survey Methodology, 39, pp.303–322.
Christmann, A., Salibian-Barrera, M. & Van Aelst, S., 2013. Qualitative Robustness of Bootstrap Approximations for Kernel Based Methods. In C. Becker, Fried, R. , & Kuhnt, S. , eds. Robustness and Complex Data Structures: Festschrift in Honour of Ursula Gather. Robustness and Complex Data Structures: Festschrift in Honour of Ursula Gather. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 263–278. Available at: http://dx.doi.org/10.1007/978-3-642-35494-6_16.
Chen, J. & Liu, Y., 2013. Quantile and quantile-function estimations under density ratio model. The Annals of Statistics, 41, pp.1669–1692.
Falasinnu, T. et al., 2013. Risk prediction in sexual health contexts: Protocol. JMIR research protocols, 2.
Van Aelst, S., Willems, G. & Zamar, R.H., 2013. Robust and efficient estimation of the residual scale in linear regression. JOURNAL OF MULTIVARIATE ANALYSIS, 116, pp.278-296.
Balkema, G., Embrechts, P. & Nolde, N., 2013. The shape of asymptotic dependence. In Prokhorov and Contemporary Probability Theory. Prokhorov and Contemporary Probability Theory. Springer, pp. 43–67.
Stoeber, J., Joe, H. & Czado, C., 2013. Simplified pair copula constructions: Limitations and extensions. Journal of Multivariate Analysis, 119, pp.101-118.
Croux, C. et al., 2013. Special issue on robust analysis of complex data. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 65, pp.1-3.
Kang, J., Brant, R. & Ghali, W.A., 2013. Statistical methods for the meta-analysis of diagnostic tests must take into account the use of surrogate standards. J Clin Epidemiol, 66, pp.566–574.
Jun, S.-H. & Bouchard-Côté, A., 2013. A Stochastic Map View of Sequential Monte Carlo with Applications to Memory and Network Efficiency. In Randomized Algorithm Workshop at Advances in Neural Information Processing Systems 26 (NIPS). Randomized Algorithm Workshop at Advances in Neural Information Processing Systems 26 (NIPS).
Ascherio, A. et al., 2013. Supplementary Online Content.

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