Bayes estimator

Let X ~ N(u, 1). Let & be the Bayes estimator of / for squared error loss. Let w() be the prior of M. Compute the risk functions R(u, d) for "(M) ~ N(0, 1) and 7(M) ~N(0, 10). Comment on how the prior affects the risk function of the Bayes estimator