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

Abstract Details

Activity Number: 122
Type: Topic Contributed
Date/Time: Monday, August 2, 2010 : 8:30 AM to 10:20 AM
Sponsor: Section on Nonparametric Statistics
Abstract - #307070
Title: Semiparametric Mixtures of Regressions
Author(s): David Hunter*+
Companies: Penn State
Address: 326 Thomas Building, University Park, PA, 16802, USA
Keywords: Mixture models ; Semi-parametric mixtures

Mixtures of regressions may be appropriate in cases where a response variable is thought to depend on one or more explanatory variables, but there exist different categories of explanatory-response pairs for which different regression relationships exist and we do not observe the category of each pair. Mixture-of-regressions models have appeared in the statistical literature, though not extensively and generally only in a fully parametric form. After a brief discussion of the parametric case (and its implementation in the mixtools package for R), we consider relaxing the parametric assumptions of a standard mixture of regressions in several directions: Allowing the error structure to be unspecified, allowing the regression curve to be unspecified, and allowing the mixing proportions to vary as a function of the predictors.

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 2010 program

2010 JSM Online Program Home

For information, contact or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.