given by which is equivalent to minimizing the following function of : Thus, we see that the MAP estimator for μ is given by which turns out to be a linear interpolation between the prior mean and the sample mean weighted by their respective covariances. The case of is called a non-informative prior and leads to an ill-defined a priori probability distribution; in this case References Bayesian estimation Logic and statistics