Bayesian Statistics

MATHEMATICS AND STATISTICS 5310

Introduces the Bayesian approach to statistical inference for data analysis in a variety of applications. Topics include: comparison of Bayesian and frequentist methods, Bayesian model specification, choice of priors, computational methods such as rejection sampling, and stochastic simulation (Markov chain Monte Carlo), empirical Bayes method, hands-on Bayesian data analysis using appropriate software. Prerequisite: CSE 131, Math 309, (Math 493 or Math 3211), (Math 3200 or Math 494 or Math 4211).
Course Attributes: FA NSM; AR NSM; AS NSM

Section 01

Bayesian Statistics
INSTRUCTOR: Mondal
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Section 02

Bayesian Statistics
INSTRUCTOR: Mondal
View Course Listing - SP2024