AAEC-6564: Bayesian Econometric Analysis
Description: Bayesian estimation of economic models, with focus on Gibbs sampling, hierarchical modeling, data augmentation, and model search. Strong emphasis on programming and computational implementation.
Pathways: N/A
Course Hours: 3 credits
Sections Taught: 4
Average GPA: 3.93 (A)
Strict A Rate (No A-) : 81.55%
Average Withdrawal Rate: 0.00%
| Staff Moeltner | 2023 | 97.9% | 2.1% | 0.0% | 0.0% | 0.0% | 0.0% | 3.93 | 4 |