Advanced Bayesian Methods: The Basics of Bayesian Computation

In this video, Dr Gabriel Katz talks about the basics of Bayesian computation, working through a series of exercises. Using an example of Bayesian inference, he goes over the four steps of Bayesian analysis: specifying the data model, choosing the prior distribution for p, deriving the posterior distribution for p and finally, summarising f.