STAT 206B: Inter Bayesian Infer
University of California, Santa Cruz
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. (Formerly AMS 206B.)
Average GPA: 3.34
Grade distribution records: 28 students across 2 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 3 | 10.7% |
| A | 3 | 10.7% |
| A- | 6 | 21.4% |
| B+ | 5 | 17.9% |
| B | 6 | 21.4% |
| B- | 2 | 7.1% |
| C | 2 | 7.1% |
| U | 1 | 3.6% |
Based on 28 student grade records across 2 terms and 2 professors.
Instructors
- Rajarshi Guhaniyogi 18 students, Average GPA 3.47
- Ju Hee Lee 10 students, Average GPA 3.11