Bayesian Statistics STAT 460 (3)
The Bayesian approach to statistics is an alternative and increasingly popular way of quantifying uncertainty in the presence of data. This course considers comparative statistical inference, prior distributions, Bayesian computation, and applications. Prerequisite: STAT 330 and 350. Quantitative.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Tim Swartz |
Jan 4 – Apr 7, 2017: Tue, 11:30 a.m.–1:20 p.m.
Jan 4 – Apr 7, 2017: Thu, 11:30 a.m.–12:20 p.m. |
Burnaby Burnaby |
|
| D102 |
Tim Swartz |
Jan 4 – Apr 7, 2017: Fri, 10:30–11:20 a.m.
|
Burnaby |