The Cleveland Chapter of the ASA will host a seminar called Tools for Regaining the Competitive Edge on May 11. The seminar will cover nonparametric regression methods built on recursive partitioning, a statistical technique that forms the basis for two classes of nonparametric regression methods: classification and regression trees (CART) and multivariate adaptive regression splines (MARS). Although relatively new, the applications of these methods are far reaching, as study designs from the arts, engineering, science, and commercial applications become increasingly complex, yielding data sets of massive size.
This seminar will benefit those who want to use trees and adaptive splines to analyze high-dimensional and complex data. It also will help students and researchers who wish to develop related classification and regression methods and software.
The seminar covers chapters 1 to 4, 6, 8, and 9 from Recursive Partitioning and Applications by Heping Zhang and Burton Singer.
Visit the Cleveland Chapter’s website for more information.