STAT 207Intermediate Bayesian Statistical Modeling
Hierarchical modeling, linear models (regression and analysis of variance) from the Bayesian point of view, intermediate Markov chain Monte Carlo methods, generalized linear models, multivariate models, mixture models, hidden Markov models. (Formerly AMS 207.)
Prerequisites
Prerequisite(s): STAT 206B. Enrollment is restricted to graduate students or by permission of instructor.
Find a section and add it to your scheduleLive seat counts, time-conflict checks and the walk from your previous class.
When it runs
Spring 2026Open Spring 2026
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Tue Thu 9:50am–11:25am | Remote Instruction | Z. Li | Open 7/10 |
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