STAT 6300 A (CRN: 93185)
Statistics: Bayesian Statistics (A)
3 credit hours
About STAT 6300 A
Introduction to Bayesian inference. Posterior inference, predictive distributions, prior distribution selection. MCMC algorithms. Hierarchical models. Model checking and selection. Use of computer software. Prerequisite: Content knowledge of STAT 5510 assumed.
Notes
Content knowledge of STAT 5510 assumed; Open to Degree and PACE students
Syllabus Unavailable
Please contact the instructor for information about this course.
Important Dates
| Last Day to Add | |
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| Last Day to Drop | |
| Last Day to Withdraw with 50% Refund | |
| Last Day to Withdraw with 25% Refund | |
| Last Day to Withdraw |