Answering Two Biological Questions with a Latent Class Model via MCMC Applied to Capture-Recapture Data

Francesco Bartolucci, A. Mira () and L. Scaccia
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A. Mira: University of Insubria, Dipartimento di Economia
L. Scaccia: University of Perugia, Dipartimento di Scienze Statistiche

Chapter Chapter 2 in Applied Bayesian Statistical Studies in Biology and Medicine, 2004, pp 7-23 from Springer

Abstract: Abstract A well-known method for estimating the size, N, of a certain population is the capture-recapture method (for a review see Yip et al., 1995a and Schwarz and Seber, 1999). The first motivations to the development of these methods arose in biology where researchers were interested in estimating the number of animals of a certain species (see, for instance, Schnabel, 1938, and Darroch, 1958). Subsequently, this methodology was also applied in medical and social contexts where it is important to estimate the number of subjects with a certain disease or in a particular situation (Yip et al., 1995b).

Keywords: Posterior Distribution; Markov Chain Monte Carlo; Latent Class; Credibility Interval; Latent Class Model (search for similar items in EconPapers)
Date: 2004
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DOI: 10.1007/978-1-4613-0217-9_2

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