Stat 672 Statistical Learning II

Bayesian networks, k-means, mixture models, the expectation maximization algorithm, Markov random fields, Gibbs distributions, belief propagation algorithms, variational inference, Markov chain Monte Carlo. This is the second course in a sequence of three courses on Statistical Learning: Stat 671, Stat 672, Stat 673.