PSTAT115
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PSTAT 115 - Introduction to Bayesian Data Analysis
Statistics & Applied Probability
College of Letters and Science
Full Course Title
Introduction to Bayesian Data Analysis
Instructor Name(s)
STAFF
Course Description
An introduction to the Bayesian approach to statistical inference, its theoretical foundations and comparison to classical methods. Topics include parameter estimation, testing, prediction and computational methods (Markov Chain Monte Carlo simulation). Emphasis on concepts, methods and data analysis. Extensive use of the R programming language and examples from the social, biological and physical sciences to illustrate concepts.
Unit Value
4
Maximum number of times course can be repeated for additional credit
0
Maximum Units
4