Introduction to Bayesian Modeling
STAT 477 / 577 (3)An introduction to Bayesian methodology and applications. Topics covered include: probability review, Bayes’ theorem, prior elicitation, Markov chain Monte Carlo techniques. The free software programs WinBUGS and R will be used for data analysis.
Prerequisite: 461 and (427 or 440).
{Alternate Springs}
Prerequisites / Corequisites
Probability - STAT 461 / 561
Advanced Data Analysis I - STAT 427 / 527
Regression Analysis - STAT 440 / 540
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MSC11 6325
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