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
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 3
Average GPA: 3.90 (rounds to A)
Strict A Rate (No A-) : 95.67%
Average Withdrawal Rate: 0.00%
| Hongxiao Zhu | 2024 | 97.6% | 0.0% | 0.0% | 0.0% | 2.4% | 0.0% | 3.90 | 3 |