STAT-4444: Applied Bayesian Statistics
Description: Introduction to Bayesian methodology with emphasis on applied statistical problems: data displaying, prior distribution elicitation, posterior analysis, models for proportions, means and regression.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 9
Average GPA: 3.69 (rounds to A-)
Strict A Rate (No A-) : 62.47%
Average Withdrawal Rate: 0.39%
| Hamdy F Mahmoud | 2024 | 73.3% | 22.3% | 2.6% | 1.3% | 0.0% | 0.5% | 3.69 | 7 |
| Leanna L House | 2019 | 56.7% | 43.4% | 0.0% | 0.0% | 0.0% | 0.0% | 3.55 | 1 |
| David Higdon | 2024 | 86.6% | 8.9% | 4.4% | 0.0% | 0.0% | 0.0% | 3.78 | 1 |