Bayesian Analysis of Metapopulation Data

@inproceedings{OHaraBayesianAO,
  title={Bayesian Analysis of Metapopulation Data},
  author={Benjamin O’Hara and Elja Arjas and Hannu Toivonen and Ilkka Hanski}
}
A Bayesian approach is used to develop a method for fitting a metapopulation model (the incidence function model) to data on habitat patch occupancy, providing estimates of the five model parameters. Parameter estimation is carried out using a Markov chain Monte Carlo sampler, and data augmentation is used to include the effect of missing data in the analysis. The Bayesian approach allows us to take into account uncertainty about the parameter estimates when making predictions with the model… CONTINUE READING
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2010
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