Corpus ID: 55842297

Bayesian model choice via mixture distributions with application to epidemics and population process models

@article{ONeill2014BayesianMC,
  title={Bayesian model choice via mixture distributions with application to epidemics and population process models},
  author={P. O'Neill and T. Kypraios},
  journal={arXiv: Methodology},
  year={2014}
}
  • P. O'Neill, T. Kypraios
  • Published 2014
  • Mathematics
  • arXiv: Methodology
  • We consider Bayesian model choice for the setting where the observed data are partially observed realisations of a stochastic population process. A new method for computing Bayes factors is described which avoids the need to use reversible jump approaches. The key idea is to perform inference for a hypermodel in which the competing models are components of a mixture distribution. The method itself has fairly general applicability. The methods are illustrated using simple population process… CONTINUE READING

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