Let X,\theta be two random variables with a joint distribution, and \mu(\theta)=E[X|\theta]. Suppose we have n observations on X given \theta, with the further condition that the observations X_1,...,X_n|\theta are independent. Show that the Bayes estimator minimizing the quadratic loss function...