STAT-6474: Adv Topics Bayesian Statistics

Description: Advanced concepts and methods in Bayesian analysis, including specifying priors, large sample theory, adaptive rejection sampling, adaptive rejection metropolis Hastings sampling, reverse jump Markov Chain Monte Carlo, model selection, nonparametric and semiparametric Bayesian methods using nonparametric priors, and Bayesian survival models.

Pathways: N/A

Course Hours: 3 credits

Prerequisites: STAT-5114 and STAT-5444 and STAT-5514

Required By: N/A

Corequisites: N/A

Crosslist: N/A

Repeatability: N/A

Last 3 Years

Last 5 Years

Last 10 Years

All

Sections Taught: 10

Average GPA: 3.91 (A)

Strict A Rate (No A-) : 88.08%

Average Withdrawal Rate: 0.00%


Inyoung Kim	2013	97.9%	0.0%	0.0%	0.0%	2.1%	0.0%	3.86	3
Hongxiao Zhu	2023	99.0%	0.0%	0.0%	0.0%	1.0%	0.0%	3.93	7

STAT-6474: Adv Topics Bayesian Statistics

Grade Distribution Over Time