STAT 237 - Bayesian Computation

Semester Offered: Second Semester
Credits (Range): 3 Hours
Attribute: 3 NS, QP-F
An introduction to Bayesian statistical methods, which will be contrasted with standard, frequentist statistical inference. Conjugate prior distributions will be studied, but computational methods will be developed to allow for arbitrary prior distributions.
Enrollment Limit: 30
Instructor: J. Witmer
Prerequisites & Notes
Prerequisites: MATH 133 or consent of the instructor. Note: Given in alternate years only.