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STAT 425

INTRODUCTION TO BAYESIAN INFERENCE

Credit Hours: 3 · Undergraduate Upper-Level

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 .

Prerequisites & course information

Short Title: INTRO TO BAYESIAN INFERENCE Department: Statistics Grade Mode: Standard Letter Course Type: Lecture Credit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): STAT 410 and STAT 405 or COMP 210 or COMP 140 or COMP 130

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