Empirical Bayes methods have found increasing use in statistical analyses. These methods allow the modelling of complicated systems and provide a mechanism for obtaining parameter estimates. They are based on Bayesian models, but employ alternate estimation techniques. In this article these methods are explained and illustrated with many examples taken from real situations.
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George Casella (1992) studied this question.