5. Let X1, X2, ..., X, be a random sample from the normal density with mean p and variance 1. Consider estimating / with a
5. Let X1, X2, ..., X, be a random sample from the normal density with mean p and variance 1. Consider estimating / with a squared-error loss. Assume that the prior () is a normal density with mean po and variance 1. Show that the Bayes estimator of A is Hot EX, n+1
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