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Nov 24, 2024
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STAT 9240 - Bayesian Inference (3 Credit Hours) This course provides the student with an introduction to Bayesian inference. The course will emphasize the theoretic aspects of the Bayesian paradigm. Topics covered in the course will be: utility, loss functions, minimaxity and admissibility, Bayes’ estimators, maximum entropy priors, conjugate priors, non-informative priors, improper priors, Bayes factors, Markov chain Monte-Carlo algorithms including Metropolis-Hastings and Gibbs sampling.
Prerequisite(s): STAT7620 >= C
Lecture Hours: 3
Repeat Status: NR - Not Repeatable
Grade Mode: Normal, Audit
Schedule Type: Lecture
Click here for the Schedule of Classes.
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