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: 2
Average GPA: 3.86 (rounds to A)
Strict A Rate (No A-) : 63.10%
Average Withdrawal Rate: 0.00%
| Staff Moeltner | 2023 | 95.8% | 4.2% | 0.0% | 0.0% | 0.0% | 0.0% | 3.86 | 2 |