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Abstract Details
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Activity Number:
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499
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 1, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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WNAR
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| Abstract - #305203 |
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Title:
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Signal Extraction in Discrete Mixture Models
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Author(s):
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Volodymyr Melnykov*+
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Companies:
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North Dakota State University
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Address:
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2800 8th Street N, Fargo, ND, 58102-1442, United States
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Keywords:
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discrete mixture model ;
EM algorithm ;
signal ;
mass spectrometry
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Abstract:
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Finite mixture modeling is a popular technique that can account for various shapes and patterns in data. The majority of mixtures considered in literature are devoted to handling continuous data. We consider a finite mixture model constructed with bell-shaped discrete component distributions. This type of mixture is used for the problem of extracting the informative part of the sample, also called signal, and separating it from the noise. An application to the mass spectrum analysis is considered.
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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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