Hybrid Method for Quantifying and Analyzing Bayesian Belief Nets

  title={Hybrid Method for Quantifying and Analyzing Bayesian Belief Nets},
  author={Anca M. Hanea and Dorota Kurowicka and Roger M. Cooke},
  journal={Quality and Reliability Eng. Int.},
Bayesian belief nets (BBNs) have become a popular tool for specifying highdimensional probabilistic models. Commercial tools with an advanced graphical user interface that support BBNs construction and inference are available. Thus, building and working with BBNs is very efficient as long as one is not forced to quantify complex BBNs. A high assessment burden of discrete BBNs is often caused by the discretization of continuous variables. Until recently, continuous BBNs were restricted to the… CONTINUE READING
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Casual modeling using Bayesian belief nets for integrated safety at airports

  • ALC Roelen, R Wever, +5 authors PJL. Valk
  • Risk Decision and Policy
  • 2004

Distribution-free continuous Bayesian belief nets

  • D Kurowicka, RM Cooke
  • Proceedings of the Mathematical Methods in…
  • 2004

An introduction to graphical models

  • KP Murphy
  • Technical Report, Intel Research,
  • 2002

Tool for and experiences with Bayesian normative modeling

  • W. Edwards
  • Journal of the American Psychological Association
  • 1998
2 Excerpts

Markov and entropy properties of tree- and vine-dependent variables

  • RM Cooke
  • Proceedings of the Section on Bayesian…
  • 1997

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