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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 3, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #302902 |
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Title:
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Multiple Recapture Estimation in the Presence of Unobserved Heterogeneity Using a Soft-Classification Approach
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Author(s):
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Daniel Manrique-Vallier*+ and Stephen E. Fienberg
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Companies:
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Duke University and Carnegie Mellon University
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Address:
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2800 Croasdaile Drive Ap M5, Durham, NC, 27705,
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Keywords:
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Capture-Recapture ;
Heterogeneity ;
Dependence ;
Hierarchical Bayes ;
Multiple Systems Estimation ;
Grade of Membership
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Abstract:
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We revisit the closed population multiple recapture problem, modeling individual-level heterogeneity using the Grade of Membership model. This strategy allows us to account for the unobserved heterogeneity present in the population by postulating the existence of homogeneous latent ideal classes, and constructing a soft clustering of the individuals, where each one is allowed partial or mixed membership in all of the classes.
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