AMS207: 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): courses 206 or 206B; enrollment restricted to graduate students or by permission of instructor.

5 credits

Year Fall Winter Spring Summer

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