Abstract
Empirical Bayes approach to estimation of many parameters is considered. Special features of the techniques discussed are: (i) the handling of unequal sample sizes at various stages of an Empirical Bayes sampling scheme and (ii) a general iterative procedure for estimating the parameters of a parametric prior distribution based on the likelihood approach. Linear empirical Bayes estimation is also considered. Application of the general techniques is demonstrated with special reference to a multinomial data distribution.
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Lwin, T., Maritz, J.S. Empirical Bayes approach to multiparameter estimation: with special reference to multinomial distribution. Ann Inst Stat Math 41, 81–99 (1989). https://doi.org/10.1007/BF00049111
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DOI: https://doi.org/10.1007/BF00049111