Applications of Bayesian Networks in Ecological Modelling

@inproceedings{Mead2007ApplicationsOB,
  title={Applications of Bayesian Networks in Ecological Modelling},
  author={Reggie Mead and J. Paxton and Rick Sojda},
  year={2007}
}
Bayesian belief networks are a popular tool for reasoning under uncertainty. Certain advantages make them well suited for applications in ecological modelling. In this paper, we provide an overview of Bayesian belief networks and offer examples of their use in ecological modelling. We also review hierarchical Bayesian modelling and influence diagrams. 

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References

Publications referenced by this paper.
Showing 1-10 of 20 references

An introduction to nonparametric bayesian modelling with a focus on multi-agent learning, Switching and Learning

  • V V. Tresp, K. Yu
  • 2005
1 Excerpt

Influence diagrams for representing uncertainty in climaterelated propositions

  • J. Hall, C. Twyman, A. Kay
  • Climatic Change
  • 2005
2 Excerpts

Reckhow, A bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis

  • M. Borsuk, K. C. Stow
  • Ecological Modelling
  • 2004
2 Excerpts

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