113 citations · 335 across the 10 of their papers we have counts for
10 papers
Posterior Model Consistency in Variable Selection as the Model Dimension Grows
Elías Moreno, Javier Girón, George Casella
Most of the consistency analyses of Bayesian procedures for variable selection in regression refer to pairwise consistency, that is, consistency of Bayes factors. However, variable…
Simultaneous SNP identification in association studies with missing data
Zhen Li, Vikneswaran Gopal, Xiaobo Li +2
Association testing aims to discover the underlying relationship between genotypes (usually Single Nucleotide Polymorphisms, or SNPs) and phenotypes (attributes, or traits). The ty…
Shrinkage Confidence Procedures
George Casella, J. T. Gene Hwang
The possibility of improving on the usual multivariate normal confidence was first discussed in Stein (1962). Using the ideas of shrinkage, through Bayesian and empirical Bayesian…
Discussion of "Estimating Random Effects via Adjustment for Density Maximization" by C. Morris and R. Tang
Claudio Fuentes, George Casella
Discussion of "Estimating Random Effects via Adjustment for Density Maximization" by C. Morris and R. Tang [arXiv:1108.3234]
Consistency of objective Bayes factors as the model dimension grows
Elías Moreno, F. Javier Girón, George Casella
In the class of normal regression models with a finite number of regressors, and for a wide class of prior distributions, a Bayesian model selection procedure based on the Bayes fa…
Estimation in Dirichlet random effects models
Minjung Kyung, Jeff Gill, George Casella
We develop a new Gibbs sampler for a linear mixed model with a Dirichlet process random effect term, which is easily extended to a generalized linear mixed model with a probit link…