Empirical bayes estimates using the nonparametric maximum likelihood estimate for the priort

摘要: This paper presents a smooth empirical Bayes estimation technique based on nonparametric maximum likelihood of the prior distribution Posterior means this estimate are shown to be easily calculated for variety sampling situations Examples involving normal and binomial given.