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Environment Systems and Decisions

, Volume 34, Issue 1, pp 88–97 | Cite as

Estimating expected value of information using Bayesian belief networks: a case study in fish consumption advisory

  • Patrycja L. Gradowska
  • Roger M. Cooke
Article

Abstract

A recent international collaborative effort was directed at quantifying the risks and benefits of fish consumption. A nonparametric continuous–discrete Bayesian belief network was constructed to support these calculations. The same Bayesian belief network has enabled calculation of the expected benefits of further research directed at shrinking the uncertainties and prioritization of possible research efforts.

Keywords

Bayesian belief networks Decision making under uncertainty Health risk assessment Value of information 

Notes

Acknowledgements

The authors wish to thank Mr. Olli Leino, Dr. Jouni T. Tuomisto, Dr. Anna K. Karjalainen and other participants in BENERIS project for guidance and providing data required to quantify the BBN model used in this study.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Applied MathematicsDelft University of TechnologyDelftThe Netherlands
  2. 2.Resources for the FutureWashingtonUSA
  3. 3.University of StrathclydeGlasgowUK
  4. 4.Delft University of TechnologyDelftThe Netherlands

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