Statistics and Its Interface

Volume 7 (2014)

Number 4

Special Issue on Modern Bayesian Statistics (Part I)

Guest Editor: Ming-Hui Chen (University of Connecticut)


Joint models: when are treatment estimates improved?

Laura A. Hatfield, James S. Hodges, and Bradley P. Carlin

pp. 439-453

Sequential process convolution Gaussian process models via particle learning

Waley W. J. Liang and Herbert K. H. Lee

pp. 465-475

Inference functions in high dimensional Bayesian inference

Juhee Lee and Steven N. MacEachern

pp. 477-486

Fully probabilistic knowledge expression and incorporation

Miroslav Kárný, Tatiana V. Guy, Jan Kracík, Petr Nedoma, Antonella Bodini, and Fabrizio Ruggeri

pp. 503-515

Bayesian case-deletion model complexity and information criterion

Hongtu Zhu, Joseph G. Ibrahim, and Qingxia Chen

pp. 531-542

Hierarchical dynamic models for multivariate times series of counts

Nalini Ravishanker, Volodymyr Serhiyenko, and Michael R. Willig

pp. 559-570

A new Bayesian lasso

Himel Mallick and Nengjun Yi

pp. 571-582