AMS 207: Intermediate Bayesian Statistical Modeling
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): graduate standing or permission of instructor. R. Prado, B. Sanso
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