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Activity Number: 461
Type: Invited
Date/Time: Thursday, August 7, 2008 : 8:30 AM to 10:20 AM
Sponsor: IMS
Abstract - #300143
Title: Mixture Modeling of Symbolic Data
Author(s): Matthieu Vrac and Edwin Diday and Lynn Billard*+
Companies: Ecole Polytechnique and Paris Dauphine University and The University of Georgia
Address: Department of Statistics, Athens, GA, 30602-1952,
Keywords:
Abstract:

We consider the situation where the observations consist of a vector of empirical distribution functions estimated from a larger set of point observations. We develop a methodology for separating these distributions into clusters based on a probalistic law, using a mixture of copula functions. The results are applied to a set of meteorological data.

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Revised September, 2008