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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 |
TBD |