I have a question on computing MSEs. So X1...Xn are iid N(m, sigma^2). So sample variance is obviously s^2 = 1/(n-1)sum(xi-xbar), and mle is 1/sum(xi-xbar)^2. I know that s^2 is an unbiased estimator, while the mle is biased, but how do I compute the MSE's of each?