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

Author

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  • Patrycja L. Gradowska

    (Delft University of Technology)

  • Roger M. Cooke

    (Resources for the Future
    University of Strathclyde
    Delft University of Technology)

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.

Suggested Citation

  • Patrycja L. Gradowska & Roger M. Cooke, 2014. "Estimating expected value of information using Bayesian belief networks: a case study in fish consumption advisory," Environment Systems and Decisions, Springer, vol. 34(1), pages 88-97, March.
    • Handle: RePEc:spr:envsyd:v:34:y:2014:i:1:d:10.1007_s10669-013-9471-4
    DOI: 10.1007/s10669-013-9471-4
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    References listed on IDEAS

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    1. Morales, O. & Kurowicka, D. & Roelen, A., 2008. "Eliciting conditional and unconditional rank correlations from conditional probabilities," Reliability Engineering and System Safety, Elsevier, vol. 93(5), pages 699-710.
    2. Samson, D. & Wirth, A. & Rickard, J., 1989. "The value of information from multiple sources of uncertainty in decision analysis," European Journal of Operational Research, Elsevier, vol. 39(3), pages 254-260, April.
    3. James C. Felli & Gordon B. Hazen, 1998. "Sensitivity Analysis and the Expected Value of Perfect Information," Medical Decision Making, , vol. 18(1), pages 95-109, January.
    4. Gary L. Ginsberg & Brian F. Toal, 2000. "Development of a Single‐Meal Fish Consumption Advisory for Methyl Mercury," Risk Analysis, John Wiley & Sons, vol. 20(1), pages 41-48, February.
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    Cited by:

    1. Zou, Guang & Faber, Michael Havbro & González, Arturo & Banisoleiman, Kian, 2021. "Computing the value of information from periodic testing in holistic decision making under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    2. Mercedes Boncompte Pons & María del Mar Guerrero Manzano, 2024. "The value of perfect information for the problem: a sensitivity analysis," Environment Systems and Decisions, Springer, vol. 44(4), pages 980-993, December.
    3. Jeffrey M. Keisler, 2014. "Value of information: facilitating targeted information acquisition in decision processes," Environment Systems and Decisions, Springer, vol. 34(1), pages 1-2, March.

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