STAT 907 - Bayesian Statistical Inference

Credits: 3

Principles of Bayesian estimation, testing and prediction; Bayes factors and posterior probabilities of hypotheses; hierarchical modeling; Bayesian model selection and assessment; Bayesian computation and asymptotics; nonparametric Bayesian models.

Requisites:
Prerequisite: STAT 713 and STAT 771, plus one introductory course in statistical computing (e.g. STAT 725 or STAT 726 or equivalent background).

Typically Offered
Fall, odd years

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Kansas State University

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STAT 907 - Bayesian Statistical Inference