An empirical Bayes derivation of best linear unbiased predictors

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An Empirical Bayes Derivation of Best Linear Unbiased Predictors

Let (Y1,θ1), . . . ,(Yn,θn) be independent real-valued random vectors with Yi, given θi, is distributed according to a distribution depending only on θi for i= 1, . . . ,n. In this paper, best linear unbiased predictors (BLUPs) of the θi’s are investigated. We show that BLUPs of θi’s do not exist in certain situations. Furthermore, we present a general empirical Bayes technique for deriving BLUPs.

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ژورنال

عنوان ژورنال: International Journal of Mathematics and Mathematical Sciences

سال: 2002

ISSN: 0161-1712,1687-0425

DOI: 10.1155/s016117120211009x