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: 2
Average GPA: 3.69 (rounds to A-)
Strict A Rate (No A-) : 73.75%
Average Withdrawal Rate: 0.00%
| Xiaowei Wu | 2022 | 93.8% | 0.0% | 0.0% | 0.0% | 6.3% | 0.0% | 3.69 | 2 |