AMS207: Intermediate Bayesian Statistical Modeling

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

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 or 206B, enrollment restricted to graduate students or by permission of instructor. D. Draper, R. Prado, B. Sanso

5 Credits

YearFallWinterSpringSummer
2016-17
2015-16
2014-15
2013-14
  • Section 01
    Bruno Sanso (bsanso)
    Will be telecast to SV
  • Section 50
    Bruno Sanso (bsanso)
    SV telecast section
2012-13
2011-12
2010-11
2009-10
2008-09
2007-08
2006-07
2005-06
2004-05
2003-04
2002-03
2001-02

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