|675K: ( 3 credits) Bayesian Statistics
Bayesian inference and theory, hierarchical models, Markov chain Monte Carlo theory and methods, model criticism and selection, hierarchical regression and generalized linear models, and other topics.
Prerequisites: STAT 430 is the prerequisite for this course, however it is recommended that student has had STAT 530 and STAT 540.
Text: Bayesian Data Analysis, 2nd ed., Gelman, Carlin, Stern & Rubin.
Computer Software: S-Plus or R, and WinBUGS (freeware - more information will be provided on the course web page).
This course fulfills a Group III requirement for the MS degree, as well as serving as an elective for the Statistical Theory & Methods certificate.