2. (5 points) In the Bayesian approach to parametric density estimation, we estimate p(x|D) by p(x|D) = Sp(x|0)p(0|D)de. Consider the 1-d case where we are given a parametric density X E (0, 0] = (0|x)d otherwise Also, we are given a prior density for the parameter 0: P ( 0 ) O E (0, 4] 4 .0, otherwise Further, we are given a training set of two samples, D = {2, 3}. Find the Bayesian estimation for p(x| D)