Artificial Intelligence, Machine Learning, Data Science.
posterior predictive distribution in Bayesian inference, we integrate the posterior over all the possible values θ for the model. This integration is intractable in general. In the Bayesian linear regression, the likelihood is in the form of a Gaussian function. Therefore, we can compute the