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Abstract Details
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Activity Number:
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118
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 1, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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IMS
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| Abstract - #300689 |
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Title:
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Mixture of Generalized Varying Effect Models
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Author(s):
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Xianming Tan*+ and Runze Li
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Companies:
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Penn State University and Penn State University
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Address:
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204 E Calder Way, State College, PA, 16801,
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Keywords:
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mixture model ;
varying coefficient model ;
penalized spline ;
smoothing parameters
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Abstract:
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The mixture of varying coefficient models extend the classic varying-coefficient models to a mixture framework, by assuming an observation or a cluster of observations may come from one of several hidden sub-classes, and there is an unique varying coefficient model for each sub-class to describe the relationships between outcomes and covariates. We will discuss the estimation of such models using penalized splines. Key issues like the selection of smoothing parameters will be discussed. Both simulated data example and real data example will be presented to illustrate the performance of our estimation approach.
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Authors who are presenting talks have a * after their name.
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