Description

Lecture, three hours; discussion, one hour. Recommended requisite: course 200A or 200B. Designed for graduate students. Introduction to statistical inference based on use of Bayes theorem, covering foundational aspects, current applications, and computational issues. Topics include Stein paradox, nonparametric Bayes, and statistical learning. Examples of applications vary according to interests … For more content click the Read More button below.

Instructional Format

Primary Format

Lecture

Secondary Format

Discussion

Concurrent Course

STATS C180 - Introduction to Bayesian Statistics

A pair of upper-division undergraduate and graduate courses that share a primary activity. They are scheduled at the same time and place with the same instructor.