Bayesian Analysis in Applications of Hierarchical Models: Issues and Methods
Bayesian Analysis in Applications of Hierarchical Models: Issues and Methods
In applications of hierarchical models (HMs), a potential weakness of empirical Bayes estimation approaches is that they do not to take into account uncertainty in the estimation of the variance components (see, e.g., Dempster, 1987 ). One possible solution entails employing a fully Bayesian approach, which involves specifying a prior …