StatisticsSTAT 222 Bayesian Nonparametric Methods

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.)

Requirements

Prerequisite(s): STAT 207. Enrollment is restricted to graduate students.

Credits

5

Quarter offered

Spring

Instructor

Athanasios Kottas, Abel Rodriguez