Introduction to Bayesian Modeling
STAT 577 / 477 (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: 561 and (527 or 540)
{Alternate Springs}
Prerequisites / Corequisites
Probability - STAT 561 / 461
Advanced Data Analysis I - STAT 527 / 427
Regression Analysis - STAT 540 / 440
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Office of the Registrar
MSC11 6325
1 University of New Mexico
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