Course Catalog - 2019-2020

     

STAT 425 - INTRO TO BAYESIAN INFERENCE

Long Title: INTRODUCTION TO BAYESIAN INFERENCE
Department: Statistics
Grade Mode: Standard Letter
Language of Instruction: Taught in English
Course Type: Lecture
Credit Hours: 3
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisite(s): STAT 410 AND STAT 405 OR COMP 210 OR COMP 140 OR COMP 130
Description: This course is an introduction to Bayesian inference, with emphasis on concepts and methods for analyzing data. We will consider a variety of models, including MCMC algorithms and methods for linear regression and hierarchical models. Computational methods will be emphasized. Recommended Prerequisite(s): STAT 411 or CAAM 335 or MATH 355.