This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 412
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
Sponsor: IMS
Abstract - #308857
Title: Reconstruction of Conditional Expectations for Regression Calibration from the Moment Problem
Author(s): Charles Hagwood*+
Companies: National Institute of Standards and Technology
Address: 100 Bureau Dr. Bldg 222 Rm A248, Gaithersburg, MD, 20899,
Keywords: regression calibration ; moment problem ; conditional expectation
Abstract:

Regression calibration originated as a general statistical technique with works by Carroll and Stefanski (1990) and Gleser (1990). It is a method for fitting models when the independent variable or covariate X is measured with error. Measurement error is a common problem that infects many applications. In regression calibration, the noisy independent measurement W is calibrated with E[X|mid W] and the model is fitted using whatever method is appropriate using this replacement for X. An important component of this approach is finding a good estimator of E[X| W]. In this paper, the function E[X| W=w] is estimated using the classical moment problem.


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