JSM 2005 - Toronto

Abstract #303710

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 490
Type: Contributed
Date/Time: Thursday, August 11, 2005 : 8:30 AM to 10:20 AM
Sponsor: General Methodology
Abstract - #303710
Title: On the Mixture of Regressions
Author(s): Derek Young*+
Companies: The Pennsylvania State University
Address: 150 Northbrook, State College, PA, 16803, United States
Keywords: mixture ; regressions
Abstract:

Finite mixture models are used when sampling from a population that consists of subpopulations with similar characteristics, but with at least one separate identifying mark. I consider a mixture of regressions model to describe pairs of data (X, Y). For example, the mixture of regressions is used in modeling judgments for a child's thinking strategy when given certain tasks (Thomas and Horton 1997). The goals of this talk are two-fold. First is to discuss allowing the mixing weights of the model to depend on the predictor. The purpose is to investigate, given the predictor, which of the K regression equations in the model is the best to predict the values of the response. Second is to address the matter of label switching that leads to identifiability issues.

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Revised March 2005