STAT-5434: Applied Stochastic Processes
Description: Stochastic processes in statistical applications including Markov chains, Poisson processes, renewal processes, branching processes, random walks, martingales, Brownian motion and related stationary Gaussian processes.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 6
Average GPA: 3.74 (A)
Strict A Rate (No A-) : 72.73%
Average Withdrawal Rate: 0.00%
| Xiaowei Wu | 2022 | 94.7% | 2.9% | 0.0% | 0.0% | 2.5% | 0.0% | 3.82 | 5 |
| Inyoung Kim | 2012 | 85.7% | 0.0% | 0.0% | 0.0% | 14.3% | 0.0% | 3.34 | 1 |