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



Course Search:




Keyword Search:

Office of the Registrar

MSC11 6325
1 University of New Mexico
Albuquerque, NM 87131

Phone: (505) 277-8900
Fax: (505) 277-6809