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

Author

Listed:
  • 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.

Suggested Citation

  • Bartolucci Francesco & Mira Antonietta & Scaccia Luisa, 2003. "Bayesian inference for Latent Class model via MCMC with application to capture-recapture data," Economics and Quantitative Methods qf0303, Department of Economics, University of Insubria.
    • Handle: RePEc:ins:quaeco:qf0303
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    File URL: https://www.eco.uninsubria.it/RePEc/pdf/QF2003_3.pdf
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    Keywords

    Bayesian Inference; Capture-recapture; Delayed Rejection; Latent Class model; Reversible Jump.;
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