This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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576
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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SSC
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| Abstract - #307616 |
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Title:
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Model Selection for Gaussian Mixture Models and Mixture of Factor Models
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Author(s):
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Tao Huang*+
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Companies:
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University of Virginia
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Address:
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P.O.Box 400135 Kerchof Hall, Charlottesville, VA, 22904-4135,
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Keywords:
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Gaussian Mixture Models ;
Factor Models ;
EM Algorithm ;
Model Selection
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Abstract:
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A fundamental and challenging problem in the applications of mixture models is to make inference on the number of components. In this talk we focus on two mixture models, Gaussian mixture model and mixture of factor model, and propose penalized likelihood methods to select model and estimate parameters simultaneously. EM algorithms for efficient numerical computation are developed. The efficiency and usefulness of the proposed methods are illustrated by simulation studies and real data analysis.
Joint work with Heng Peng and Kun Zhang.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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