The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.
5675. Bayesian Data Analysis
3.00 credits
Prerequisites: STAT 5585 and 5685; or instructor consent.
Grading Basis: Graded
Theory of statistical inference based on Bayes' Theorem: basic probability theory, linear/nonlinear, graphical, and hierarchical models, decision theory, Bayes estimation and hypothesis testing, prior elicitation, Gibbs sampling, the Metropolis-Hastings algorithm, Monte Carlo integration.
Last Refreshed: 26-APR-24 05.20.16.357506 AM
Term | Class Number | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Enrollment | Location | Credits | Grading Basis | Notes | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1243 5882 1 001 | Spring 2024 | 5882 | Storrs | In Person | Wang, Xiaojing | 001 | Reg | TuTh 12:30pm‑1:45pm |
11/40 | AUST 344 | 3.00 | Graded |