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 208, and MATH 251. Quantitative.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Richard Lockhart |
Jan 3 – Apr 10, 2018: Mon, Wed, Fri, 9:30–10:20 a.m.
|
Burnaby |
|
| D101 |
Jan 3 – Apr 10, 2018: Fri, 10:30–11:20 a.m.
|
Burnaby |
|
| D102 |
Jan 3 – Apr 10, 2018: Fri, 11:30 a.m.–12:20 p.m.
|
Burnaby |