Emulating a gravity model to infer the spatiotemporal dynamics of an infectious disease

@inproceedings{Jandarov2011EmulatingAG,
  title={Emulating a gravity model to infer the spatiotemporal dynamics of an infectious disease},
  author={Roman Jandarov and Murali Haran and Ottar N. Bj{\o}rnstad and Bryan T. Grenfell},
  year={2011}
}
  • Roman Jandarov, Murali Haran, +1 author Bryan T. Grenfell
  • Published 2011
  • Mathematics
  • type="main" xml:id="rssc12042-abs-0001"> Probabilistic models for infectious disease dynamics are useful for understanding the mechanism underlying the spread of infection. When the likelihood function for these models is expensive to evaluate, traditional likelihood-based inference may be computationally intractable. Furthermore, traditional inference may lead to poor parameter estimates and the fitted model may not capture important biological characteristics of the observed data. We propose… CONTINUE READING

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