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

Francesco Bartolucci, Mira Antonietta () and Luisa Scaccia
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Mira Antonietta: Department of Economics, University of Insubria, Italy

Economics and Quantitative Methods from Department of Economics, University of Insubria

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.

Keywords: Bayesian Inference; Capture-recapture; Delayed Rejection; Latent Class model; Reversible Jump. (search for similar items in EconPapers)
Pages: 17 pages
Date: 2003-01
New Economics Papers: this item is included in nep-ecm
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Persistent link: https://EconPapers.repec.org/RePEc:ins:quaeco:qf0303

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