AMS 207: Intermediate Bayesian Statistical Modeling

• Spring 2009
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• Spring 2007
• Spring 2006
• Spring 2005
• Summer 2004
• Spring 2004
• Spring 2003
• Spring 2002

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, and graduate standing or permission of instructor. D. Draper, R. Prado, B. Sanso

5 Credits

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