STAT 3334 - Introduction to Bayesian Data Analysis

Credits: 3 Class: 3 Lab: 0
Crosslisted: DATA 3334.
Prerequisite(s): At least a grade of C in MATH 3302.
This course introduces the fundamentals of Bayesian data analysis. Topics include Bayesian equivalents to classical point and interval estimation, Bayesian credible and highest posterior density regions. This course uses Markov chain Monte Carlo techniques and covers the Bayesian analogues to t-test, correlation test, proportion testing, regression, and ANOVA. After taking this course, students will have a basic understanding of the Bayesian perspectives of the frequentist techniques that they encounter in a traditional introductory statistics course.