ABSTRACT
In other words, the Bayes estimator is the mean of the marginal posterior density function of µ. Since
E(µ|X=x) actually corresponds to the minimum value. Let us take the prior as
where b>0, v>2p, H is a positive definite matrix, and K is the normalizing constant. From (5.29) and (5.31) we get
