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2015
Dunham, B., Yapa, G. & Yu, E., 2015. Calibrating the Difficulty of Assessment Tools: Blooming a Statistics Exam. Journal of Statistical Education, 23(3).
Nolde, N. & Jakob, M., 2015. Challenging the standard dike freeboard: Methods to quantify statistical uncertainties in river flood protection. Canadian Water Resources Journal/Revue canadienne des ressources hydriques, pp.1–10.
Park, Y. & Kellis, M., 2015. Deep learning for regulatory genomics. Nat. Biotechnol., 33, pp.825–826.
Gustafson, P., 2015. Discussion of ``On Bayesian Estimation of Marginal Structural Models''. Biometrics, 71, pp.291–293.
Zidek, J.V. & others, , 2015. Discussion of ``Optimal design in geostatistics under preferential sampling '' Ferreira and Gamerman. Bayesian Analysis, 10, pp.749–752.
Loewenstein, G. et al., 2015. Does Increased Sexual Frequency Enhance Happiness?. Journal of Economic Behavior and Organization, 116, pp.206–218. Available at: http://dx.doi.org/10.1016/j.jebo.2015.04.021.
Tomal, J.H., Welch, W.J. & Zamar, R.H., 2015. ENSEMBLING CLASSIFICATION MODELS BASED ON PHALANXES OF VARIABLES WITH APPLICATIONS IN DRUG DISCOVERY. ANNALS OF APPLIED STATISTICS, 9, pp.69-93.
McDonald, D.J., Shalizi, C.Rohilla & Schervish, M., 2015. Estimating beta-mixing coefficients via histograms. Electronic Journal of Statistics, 9, pp.2855–2883. Available at: http://dx.doi.org/10.1214/15-EJS1094.
Nikoloulopoulos, A.K. & Joe, H., 2015. Factor copula models for item response data. Psychometrika, 80, pp.126-150.
Lei, E. et al., 2015. Functional Data Model for Genetically Related Individuals With Application to Cow Growth. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 24, pp.756-770.
Luo, H., Burstyn, I. & Gustafson, P., 2015. Gene-enviroment Independence in case-control studies: Issues of parameterization and Bayesian inference. Statistics in Biosciences.
Kingsolver, J.G. et al., 2015. Genetic Variation, Simplicity, and Evolutionary Constraints for Function-Valued Traits. AMERICAN NATURALIST, 185, pp.E166-E181.

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