JSM 2003 Online Program

Abstract #302162

This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); 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.

Back to main JSM 2003 Program page

Activity Number:	331
Type:	Contributed
Date/Time:	Wednesday, August 6, 2003 : 8:30 AM to 10:20 AM
Sponsor:	Section on Nonparametric Statistics
Abstract - #302162
Title:	Binning in Density Estimation
Author(s):	Andrew Carter*+
Companies:	University of California, Santa Barbara
Address:	Dept. of Statistics, Santa Barbara, CA, 93106,
Keywords:	density estimation ; approximate sufficiency
Abstract:	There are many algorithms for estimating densities of iid observations which rely on pre-binning the data in order to reap computational benefits. Considering the result of binning continuous data into a large number of bins from the point view of Le Cam's approximate sufficiency leads to a couple of interesting conclusions. These theoretical results bound the increase in risk associated with binning as a function of the number of bins and the assumed smoothness of the possible densities. The analysis also suggests a sort of continuity correction that may lead to improvement of certain estimators especially in considering the estimation of differentiable densities.

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 2003 program