Home
This Title All WIREs
WIREs RSS Feed
How to cite this WIREs title:
WIREs Comp Stat

Advance of the sufficient dimension reduction

Full article on Wiley Online Library:   HTML PDF

Can't access this content? Tell your librarian.

Abstract The sufficient dimension reduction of Li has been seen a steady development in the past 30 years in both methodology and application. The main approaches can be categorized into two groups: The inverse regression methods and forward regression methods. In this survey, we briefly discuss advances of methods and present problems that needs further investigation in the second group. This article is categorized under: Statistical Models > Multivariate Models Statistical and Graphical Methods of Data Analysis > Dimension Reduction Statistical Models > Semiparametric Models

Browse by Topic

Statistical Models > Semiparametric Models
Statistical and Graphical Methods of Data Analysis > Dimensional Reduction
Statistical Models > Multivariate Models

Access to this WIREs title is by subscription only.

Recommend to Your
Librarian Now!

The latest WIREs articles in your inbox

Sign Up for Article Alerts