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.
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