Consider a regression model concerned with minimizing the expected square difference between the prediction and the target. If the posterior distribution of the target variable Y is known and the observed feature vector is x, one can easily compute the optimal prediction as O p(y|x), where p is the mass function. O E[Y x]. O p(y x), where p is the density function