STAT 676 - Bayesian Statistics

Units: 3

Grading Method: LCR: Letter Grade with Cr/NC available. The grading default for the class will be letter grade, but students can opt to take it for Cr/NC

Prerequisite(s): STAT 551B or STAT 670B.

Bayes’ theorem; conjugate priors; likelihood principle; posterior probability intervals; Bayes factors; prior elicitation; reference priors; computational techniques; hierarchical models; empirical and approximate Bayesian inference; posterior sensitivity analysis; decision theory.

Maximum Credits: 3