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Introduction to Stochastic Processes STAT 380 (3)
Review of discrete and continuous probability models and relationships between them. Exploration of conditioning and conditional expectation. Markov chains. Random walks. Continuous time processes. Poisson process. Markov processes. Gaussian processes. Prerequisite: STAT 330, or all of: STAT 285, MATH 208W, and MATH 251, all with a minimum grade of C-. Quantitative.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Gary Parker |
Jan 8 – Apr 12, 2024: Mon, 4:30–5:20 p.m.
Jan 8 – Apr 12, 2024: Wed, 3:30–5:20 p.m. |
Burnaby Burnaby |
|
| E101 |
Jan 8 – Apr 12, 2024: Wed, 8:30–9:20 a.m.
|
Burnaby |
|
| E102 |
Jan 8 – Apr 12, 2024: Mon, 5:30–6:20 p.m.
|
Burnaby |