Recall that the MAP estimator for the problem of estimating the bias of a coin is 𝑋/𝑛 , which is different from the LLMS estimator (𝑋+1)/(𝑛+2) . How do they compare in terms of mean squared error (MSE)?

Answer 1

LLMS has a smaller MSE