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Bayesian inference for Latent Class model via MCMC with application to capture-recapture data

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Author Info
Bartolucci Francesco (University of Urbino, Italy)
Mira Antonietta () (Department of Economics, University of Insubria, Italy)
Scaccia Luisa (University of Perugia, Italy)
Abstract

In this paper we propose a Bayesian Latent Class model for capture-recapture data. Through two appliations, the first concerning a sample of snowshoe hares and the second concerning a sample of diabetics in a small Italian town, we show how the proposed approach may be effectively used to obtain point estimates and credibility intervals for the size of a closed-population. To estimate the model we use the Reversible Jump algorithm and the Delayed Rejection strategy to improve its efficiency.

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File URL: http://eco.uninsubria.it/dipeco/Quaderni/files/QF2003_3.pdf
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Publisher Info
Paper provided by Department of Economics, University of Insubria in its series Economics and Quantitative Methods with number qf0303.

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Length: 17 pages
Date of creation: Jan 2003
Date of revision:
Handle: RePEc:ins:quaeco:qf0303

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Related research
Keywords: Bayesian Inference; Capture-recapture; Delayed Rejection; Latent Class model; Reversible Jump.;

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