JSM 2005 - Toronto

Abstract #302794

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.



The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page
Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 430
Type: Invited
Date/Time: Wednesday, August 10, 2005 : 2:00 PM to 3:50 PM
Sponsor: IMS
Abstract - #302794
Title: Square-root N Consistent and Exhaustive Estimation of Dimension Reduction Space
Author(s): Bing Li*+
Companies: The Pennsylvania State University
Address: 326 Thomas Building , University Park, PA, 16802,
Keywords:
Abstract:

In this talk, I will introduce a unified approach to study the degree to which a dimension reduction estimator exhausts the whole dimension reduction space. This approach will be applied to study several well-known estimators as well as the recently developed contour-regression techniques. Broadly speaking, among the existing dimension reduction methods in the literature, those with square-root of n convergence rate do not necessarily exhaust the dimension reduction space---or at least whether it does is not yet well understood. Those that are known to exhaust the dimension reduction space converge at a slower speed than square root n. Thus, this work is an attempt to fill in this gap of understanding. I also will use datasets to demonstrate the importance of exhaustive estimation in applications.

  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2005 program

JSM 2005 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2005