Modern Methods in Applied Statistics STAT 852 (4)
An advanced treatment of modern methods of multivariate statistics and non-parametric regression. Topics may include: (1) dimension reduction techniques such as principal component analysis, multidimensional scaling and related extensions; (2) classification and clustering methods; (3) modern regression techniques such as generalized additive models, Gaussian process regression and splines. Prerequisite: STAT 830 and STAT 853 or permission of instructor.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Thomas Loughin |
Sep 3 – Dec 2, 2019: Mon, Wed, 2:30–4:20 p.m.
|
Burnaby |