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Wigmore Diagrams and Bayes Networks

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Maximum Entropy and Bayesian Methods

Part of the book series: Fundamental Theories of Physics ((FTPH,volume 53))

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Abstract

Formal techniqes for the analysis of decision problems such as Bayes networks and Influence Diagrams were anticipated by the famous lawyer John Henry Wigmore (1913) when lie devised charts for examining the structure of evidence in legal cases. We examine the relationship between these independently developed tools.

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References

  1. Anderson, T. and Twining, W.,(1991) “Analysis of Evidence”, Weidenfeld and Nicholson

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Author information

Authors and Affiliations

  1. Victoria University, PO Box 600, Wellington, New Zealand

    G. A. Vignaux & Bernard Robertson

Authors
  1. G. A. Vignaux
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  2. Bernard Robertson
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Editor information

Editors and Affiliations

  1. Groupe Problèmes Inverses, Laboratoire des Signaux et Systèmes (CNRS-ESE-UPS), 91192, Gif-sur-Yvette Cedex, France

    Ali Mohammad-Djafari  & Guy Demoment  & 

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© 1993 Springer Science+Business Media Dordrecht

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Vignaux, G.A., Robertson, B. (1993). Wigmore Diagrams and Bayes Networks. In: Mohammad-Djafari, A., Demoment, G. (eds) Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics, vol 53. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2217-9_13

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  • DOI: https://doi.org/10.1007/978-94-017-2217-9_13

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4272-9

  • Online ISBN: 978-94-017-2217-9

  • eBook Packages: Springer Book Archive

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