AMS241: Bayesian Nonparametric Methods

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

Theory, methods, and applications of Bayesian nonparametric modeling. Prior probability models for spaces of functions. Dirichlet processes. Polya trees. Nonparametric mixtures. Models for regression, survival analysis, categorical data analysis, and spatial statistics. Examples drawn from social, engineering, and life sciences. Prerequisite(s): course 207. Enrollment restricted to graduate students.

5 Credits

YearFallWinterSpringSummer
2017-18
2015-16
2014-15
2012-13
2010-11
2008-09
2006-07
2003-04

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