Question 4 Consider a parameter :9 with dcllsil'j' 3(a) = 93339-3", ,3 s a where st) and y>2_ {a} Find the prior mean of 9. {b} Given the observations 1; =y1,I';_ =y1,_._,}; = ya, from a uniform (0: 5] distribution: nd the posterior mean of 5 _ (:2) Show that the estimator of 5', taking the form y+n y+n1 maX[z,.5} (>=?>2}, where z = max(y1, yr my\") : is admissible under squared error loss