AssumexRD is distributed according to a multivariate Gaussian distribution, i.e., p(x)=N(x,). Given a set of samples D={x(1),...,x(N)}, derive the Maximum Likelihood estimate of and under the Naive Bayes assumption (i.e., that p(x)=i=1Dp(xi)). What specific structure does have and why?