The article discusses a Bayesian approach to empirical Bayes problems, showing that these procedures are optimal for mixtures. In some cases, these procedures are Bayesian with respect to a prior, while in others, no prior makes them Bayesian. The study provides examples and a general theory to distinguish between empirical Bayes and Bayes empirical Bayes models.