Statistical Computing II: Monte Carlo Methods

3 Credits

Second of a two course sequence on statistical computing. Covers Monte Carlo (MC) methods, Monte Carlo methods based on Markov chains (MCMC), and variational inference. Describes implementations of these methods and classes of problems in Bayesian inference they can address. Also, discussion of convergence issues. R is the primary programming language.