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Bayesian Analysis of Ring-Recovery Data Via Markov Chain Monte Carlo Simulation

P. Vounatsou and A. F. M. Smith
Biometrics
Vol. 51, No. 2 (Jun., 1995), pp. 687-708
DOI: 10.2307/2532955
Stable URL: http://www.jstor.org/stable/2532955
Page Count: 22
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Bayesian Analysis of Ring-Recovery Data Via Markov Chain Monte Carlo Simulation
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Abstract

Freeman and Morgan (1992, Biometrics 48, 217-235) recently proposed a strategy for analysing recovery data from birds ringed as nestlings. In this paper we consider a Bayesian reanalysis of their models, using Markov chain Monte Carlo methods to perform inferences conditional on models and a combination of simulation and graphical diagnostics to compare models.

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