Let X n(,1) Let be the Bayes estimator of for squared error loss Compute and graph the risk functions, R(,), for (p) n(0,1) and () n(0,10) Comment on how the prior affects the risk function of the Bayes estimator

Question: Let X ~ n(,1). Let * be the Bayes estimator of for squared error loss. Compute and graph the risk functions, R(,), for (p)

Let X ~ n(μ,1). Let δ* be the Bayes estimator of μ for squared error loss. Compute and graph the risk functions, R(μ,δπ), for π(p) ~ n(0,1) and π(μ) ~ n(0,10). Comment on how the prior affects the risk function of the Bayes estimator.

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