STAT 625
ADVANCED BAYESIAN INFERENCE
This course focuses on the Bayesian inference with emphasis on theory and applications. In this course, we will cover advancements and challenges in modern Bayesian inference, and illustrate a variety of theoretical and computational methods, simulation techniques, and hierarchical models that are suitable to analyze complex data. Repeatable for Credit.
Prerequisites & course information
Short Title: ADVANCED BAYESIAN INFERENCE Department: Statistics Grade Mode: Standard Letter Course Type: Lecture Credit Hours: 3 Restrictions: Enrollment is limited to Graduate level students. Course Level: Graduate Prerequisite(s): STAT 525
Sources
- Course catalogue ↗2026–2027