STA 427/527 Introduction to Bayesian Statistics (3)

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, prior specification, basics of decision theory, Markov Chain Monte Carlo, Bayes factor, empirical Bayes, hierarchical models, and use of computational software.

Recommended prerequisites: STA 401/501 and MTH 222.

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