STAT 222

Nonparametric Bayes

5credits
About this course

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.)

All available terms

2 terms

Avg. GPA
3.90
Grades
21

Other grades

S71.4%
More course details

University of California, Santa Cruz

STAT 222 at UCSC: average GPA 3.90 across 21 students. Grade distribution by term. Theory, methods, and applications of Bayesian nonparametric modeling. Prior…

Average GPA: 3.90

Grade distribution records: 21 students across 2 terms.

Grade distribution

GradeStudentsPercent
A419.0%
A-29.5%
S1571.4%

Based on 21 student grade records across 2 terms and 1 professor.

Instructors

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