STAT 517
Stochastic Modeling of Scientific Data
3.0 credits
Course Description
Covers Markov random fields; continuous-time Markov chains; birth-death and branching processes; and point processes and cluster models. Procedures for inference for these stochastic processes, including Likelihood methods and estimating equations. Prerequisite: STAT 516. Offered: W.
Current Time Schedule
Winter, 2021
| SLN/Section | Time | Location | Instructor |
|---|---|---|---|
|
20463 A Open |
T T 2:30PM - 3:50PM |
* * |
Vincent Roulet |
|
OFFERED VIA REMOTE LEARNING
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