AMS206B: Intermediate Bayesian Inference

*****COURSES ARE SUBJECT TO CHANGE*****

Bayesian statistical methods for inference and prediction including: estimatation; model selection and prediction; exchangability; 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): course 203. Enrollment restricted to graduate students; undergraduates may enroll by permission of instructor. A. Rodriguez

5 Credits

YearFallWinterSpringSummer
2016-17
2015-16
2014-15
2013-14
2012-13
2011-12

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