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2015
Wong, S.W.K. et al., 2015. Quantifying uncertainty in lumber grading and strength prediction: a Bayesian approach. Technometrics, 58, pp.236-243.
Wang, L., Chen, J. & Pu, X., 2015. Resampling calibrated adjusted empirical likelihood. Canadian Journal of Statistics, 43, pp.42–59.
Etminan, M., Luo, H. & Gustafson, P., 2015. Risk of intracranial hypertension with intrauterine levonorgestrel. Therapeutic advances in drug safety, 6, pp.110–113.
Troncoso, P., 2015. The SAGE handbook of multilevel modeling. International Journal of Research & Method in Education, 38, pp.100–101. Available at: http://dx.doi.org/10.1080/1743727X.2014.986027.
Tremlett, H. et al., 2015. Serum proteomics in multiple sclerosis disease progression. Journal of proteomics, 118, pp.2–11*Senior Author.
Boente, G. & Salibian-Barrera, M., 2015. S-Estimators for Functional Principal Component Analysis. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 110, pp.1100-1111.
Pierson, E. et al., 2015. Sharing and Specificity of Co-expression Networks across 35 Human Tissues. PLOS COMPUTATIONAL BIOLOGY, 11, p.e1004220.
Straub, J. et al., 2015. Small-variance nonparametric clustering on the hypersphere. In IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition.
Shaddick, G. & Zidek, J.V., 2015. Spatio-Temporal Methods in Environmental Epidemiology, CRC Press.
Campbell, T. et al., 2015. Streaming, distributed variational inference for Bayesian nonparametrics. In Advances in Neural Information Processing Systems. Advances in Neural Information Processing Systems.
Krupskii, P. & Joe, H., 2015. Structured factor copula models: theory, inference and computation. Journal of Multivariate Analysis, 138, pp.53–73.
Krupskii, P. & Joe, H., 2015. Structured factor copula models: Theory, inference and computation. Journal of Multivariate Analysis, 138, pp.53-73.
Krupskii, P. & Joe, H., 2015. Tail-weighted measures of dependence. Journal of Applied Statistics, 42, pp.614–629.
Krupskii, P. & Joe, H., 2015. Tail-weighted measures of dependence. Journal of Applied Statistics, 42, pp.614-629.
Xu, C. & Chen, J., 2015. A Thresholding Algorithm for Order Selection in Finite Mixture Models. Communications in Statistics-Simulation and Computation, 44, pp.433–453.
Brechmann, E.C. & Joe, H., 2015. Truncation of vine copulas using fit indices. Journal of Multivariate Analysis, 138, pp.19-33.

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