Bayes estimator

A statistical estimator that minimizes the expected posterior loss under a specified loss function. Under squared error loss, it equals the posterior mean of the parameter. It combines prior information with observed data through Bayes' theorem and is optimal in the Bayesian decision-theoretic sense.