STAT206B: Intermediate Bayesian Inference
Bayesian statistical methods for inference and prediction including: estimation; model selection and prediction; exchangeability; prior, likelihood, posterior, and predictive distributions; coherence and calibration; conjugate analysis; Markov Chain Monte Carlo methods for simulation-based computation; hierarchical modeling; Bayesian model diagnostics, model selection, and sensitivity analysis. Prerequisite(s): STAT 203. Enrollment is restricted to graduate students. Undergraduates may enroll by permission (STAT 131 and 132 have to be verified by the instructor directly with the student).
5 credits
Year | Fall | Winter | Spring | Summer |
---|---|---|---|---|
2024-25 |
|
|||
2023-24 |
|
|||
2022-23 |
|
|||
2021-22 |
|
|||
2020-21 |
|
While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.