Bayesian Statistics

4 units · Graduate courses (200-299)

Lecture, three hours. Requisite: course 256A. Introduction to Bayesian inferences, effective approaches to Bayesian modeling and computation, and Bayesian methods that can be used by applied researchers to solve real-life problems. Covers basic Bayesian inference. S/U or letter grading.