Bayesian Modeling and Computation, 5 op

Markov chains, MCMC methods, model checking and comparison, commonly used statistical models, such as hierarchical and regression models, binomial and count data models.

Monte Carlo Integration, Accept/Reject sampling, Importance sampling, Gibbs sampler, Metropolis-Hastings Algorithm for handling Hierarchical models