Question 7 Consider a single observation \\ from a Bernoulli ( ) distribution. Suppose we wish to estimate O using the Bayesian estimator d(X) such that d(1) = dj,d(0)=d, ; and the loss function L(d;0) =(d-e). (a) Write down the risk function R.(@). (b) Show that the minimax decision is 4 d (1) = = d(0 ) = =