STAT 425: INTRO TO BAYESIAN INFERENCE
Fall 2024 · Section 001 · CRN 11363
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.
- Credits
- 3
- Instructors
- Marina Vannucci