This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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507
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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 : 10:30 AM to 12:20 PM
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Sponsor:
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SSC
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Abstract - #308696 |
Title:
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Information Geometry of Binomial Mixtures
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Author(s):
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Paul Marriott+ and Zhiyue Robin Huang*
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Companies:
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University of Waterloo and University of Waterloo
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Address:
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200 University Avenue West, Waterloo, ON, n2l 3g1, Canada
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Keywords:
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Information geometry ;
binomial models ;
mixtures
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Abstract:
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Local mixture models have proved useful in many statistical applications. This talk looks at ways in which the local assumption, which is used in an asymptotic approximation, can be relaxed in order to generate a much larger class of models which still have the very attractive geometric and inferential properties of local mixture models. The tool used to develop this large class of models is the Karhunen-Loeve decomposition. Computational issues associated with working with these models are also briefly considered. The talk concentrates on the case of mixtures of binomial models both as illustration of general theory and for their applicability.
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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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