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.
Syllabus Downloads
Current Time Schedule
Winter, 2023
| SLN/Section | Time | Location | Instructor |
|---|---|---|---|
|
20793 A Open |
T Th 2:30PM - 3:50PM T Th 2:30PM - 3:50PM |
THO 135 THO 135 |
Abel Rodriguez Apara Venkat |
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