Suppose that X1,. , X, is an independent and identically distributed sample from some distribution family G defined by an unknown parameter value 0. Also suppose that the posterior distribution for 0 has the probability density function p(0|x1, ...Xn). The Bayes estimator for 0 is the expected value of the posterior distribution, i.e. E[0\x1,... , xn].

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A: see the attachment......

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