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Bayesian Estimation of Movement and Survival Probabilities from Capture- Recapture Data

Jerome A. Dupuis
Biometrika
Vol. 82, No. 4 (Dec., 1995), pp. 761-772
Published by: Oxford University Press on behalf of Biometrika Trust
DOI: 10.2307/2337343
Stable URL: http://www.jstor.org/stable/2337343
Page Count: 12
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Bayesian Estimation of Movement and Survival Probabilities from Capture- Recapture Data
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Abstract

The Arnason--Schwarz model is usually used for estimating survival and movement probabilities of animal populations from capture-recapture data. The missing data structure of this capture-recapture model is exhibited and summarised via a directed graph representation. Taking advantage of this structure we implement a Gibbs sampling algorithm from which Bayesian estimates and credible intervals for survival and movement probabilities are derived. Convergence of the algorithm is proved using a duality principle. We illustrate our approach through a real example.

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