*****COURSES ARE SUBJECT TO CHANGE*****
Hierarchical modeling, linear models (regression and analysis of variance) from the Bayesian point of view, intermediate Markov chain Monte Carlo methods, generalized linear models, multivariate models, mixture models, hidden Markov models. Prerequisite(s): course 206 or 206B, enrollment restricted to graduate students or by permission of instructor. D. Draper, R. Prado, B. Sanso
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