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.)
2 terms
Other grades
University of California, Santa Cruz
STAT 206B at UCSC: average GPA 3.34 across 28 students. Grade distribution by term. Bayesian statistical methods for inference and prediction including…
Average GPA: 3.34
Grade distribution records: 28 students across 2 terms.
| 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.
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