GroundAI

@stat.u

Nov 14, 2011

Statistics Theory

Our decision to work with the σ2-chain rather than the θ-chain was based on an important technical difference between the two chains that stems from the fact that π(σ2|θ,y) is not continuous in θ for each fixed σ2 (when the set A is nonempty). Indee…

Bayesian analysis of data from the general linear mixed model is challenging because any nontrivial prior leads to an intractable posterior density. …

Oct 19, 2010

Statistics Theory

In our previous work [Casella et al. (2009)], where we looked at consistency of Bayes factors for a fixed number of parameters, we found that both the Bayes factor for intrinsic priors and the Schwarz approximation to a Bayes factor had the same asy…

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 …

Mar 23, 2012

Methodology

This research was supported in part by NSFGrants SES-0631426, SES-1026165 and SES-0241651. The authors thank the Associate Editor and a reviewer for their constructive comments.

The need for small area estimates is increasingly felt in both the public and private sectors in order to formulate their strategic plans. It is now …

Sep 12, 2015

Methodology

We propose a new algorithm for envelope estimation, along with a new root n consistent method for computing starting values. The new algorithm, which…

@stat.u

Convergence analysis of the Gibbs sampler for Bayesian general linear…

Consistency of objective Bayes factors as the model dimension grows

Small Area Shrinkage Estimation

Algorithms for Envelope Estimation II

@stat.u

Convergence analysis of the Gibbs sampler for Bayesian general linear…

Consistency of objective Bayes factors as the model dimension grows

Small Area Shrinkage Estimation

Algorithms for Envelope Estimation II

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