Revolutionary Bayesian Approach Optimizes Mixture Procedures for Maximum Impact
The article discusses a Bayesian approach to empirical Bayes problems, showing that these procedures are optimal for mixtures. Some empirical Bayes procedures are Bayesian with respect to a prior, while others are not. The study provides examples and a general theory to distinguish between empirical Bayes and Bayes empirical Bayes models.