The Maximum a Posteriori Estimator is similar to the Maximum Likelihood estimator, but instead of maximizing the likelihood function, one maximizes the likelihood times the prior distribution. The nomenclature comes from the Bayes Theorem, which states that the 'posterior' is proportional to the 'prior' times the 'likelihood'.