Bayesian Predictive Posterior

• Follows from Bayesian Posterior
• Marginalizing over all possible model parameters w
• Computes predictions y with different model parameters w and weights them by the Probability of those params given an input x
• Bayesian Model Averaging
• $P(y|x)={\int }_{w}P(y|w,x)P(w|x)dx$