AMS221: Bayesian Decision Theory

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

Explores conceptual and theoretical bases of statistical decision making under uncertainty. Focuses on axiomatic foundations of expected utility, elicitation of subjective probabilities and utilities, and the value of information and modern computational methods for decision problems. Prerequisite(s): course 206. Enrollment restricted to graduate students. B. Sanso

5 Credits

YearFallWinterSpringSummer
2015-16
2012-13
2008-09
2006-07
2004-05

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