ST 440
Applied Bayesian Analysis
Section: 001

Course Description

Introduction to Bayesian concepts of statistical inference; Bayesian learning; Markov chain Monte Carlo methods using existing software (SAS and OpenBUGS); linear and hierarchical models; model selection and diagnostics.

Spring 2025

Instructors

Meeting Patterns

Classes Start:
January 6, 2025
Classes End:
April 22, 2025
Location:
01216 SAS Hall
Class Days:
M W
Class Start Time:
1:30pm
Class End Time:
2:45pm

Class Type:
Lecture
Credits:
3.00
Restrictions:
Prerequisite: ST 422 and ST 430

Tools