Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Bayesian Analysis for Multiple Capture-Recapture Models using Reference Priors

  • Younshik (Associate Professor, Research Institute of Computer, Information and Communications, Department of Statistics, Pusan National University) ;
  • Pongsu (Ph. D Student department of Statistics Pusan National University)
  • Published : 2000.04.01
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Abstract

Bayesian methods are considered for the multiple caputure-recapture data. Reference priors are developed for such model and sampling-based approach through Gibbs sampler is used for inference from posterior distributions. Furthermore approximate Bayes factors are obtained for model selection between trap and nontrap response models. Finally one methodology is implemented for a capture-recapture model in generated data and real data.

Keywords

References

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