AMS 206: Bayesian Statistics

• Winter 2010
• Winter 2009
• Winter 2008
• Winter 2007
• Winter 2006
• Winter 2005
• Winter 2004
• Winter 2003

Introduction to Bayesian statistical methods for inference and prediction; exchangeability; prior, likelihood, posterior, and predictive distributions; coherence and calibration; conjugate analysis; Markov Chain Monte Carlo methods for simulation-based computation; hierarchical modeling; Bayesian model diagnostics, model selection, and sensitivity analysis. Prerequisite(s): graduate standing, or course 132, or permission of instructor. Enrollment restricted to juniors, seniors, and graduate students. H. Lee

5 Credits

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