STAT 222: Nonparametric Bayes
University of California, Santa Cruz
Theory, methods, and applications of Bayesian nonparametric modeling. Prior probability models for spaces of functions. Dirichlet processes. Polya trees. Nonparametric mixtures. Models for regression, survival analysis, categorical data analysis, and spatial statistics. Examples drawn from social, engineering, and life sciences. (Formerly AMS 241.)
Average GPA: 3.90
Grade distribution records: 21 students across 2 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 4 | 19.0% |
| A- | 2 | 9.5% |
| S | 15 | 71.4% |
Based on 21 student grade records across 2 terms and 1 professor.
Instructors
- Athanasios Kottas 21 students, Average GPA 3.90