Article ID Journal Published Year Pages File Type
415764 Computational Statistics & Data Analysis 2013 10 Pages PDF
Abstract

A seeded dimension reduction approach recently developed provides a paradigm to enable existing dimension reduction methods for the central subspace to be adapted to regressions with n

Keywords
Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
Preview
Advances in seeded dimension reduction: Bootstrap criteria and extensions
Authors
,