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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
G100 Thomas Loughin
Tu, Th 10:30 AM – 12:20 PM
WMC 2220, Burnaby