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

Patrycja L Gradowska; Roger M Cooke

doi:10.1007/s10669-013-9471-4

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

Patrycja L Gradowska, Roger M Cooke

Management Science

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1-10
Number of pages	10
Journal	Environment Systems and Decisions
DOIs	https://doi.org/10.1007/s10669-013-9471-4
Publication status	Accepted/In press - Sept 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Bayesian belief networks
decision making under uncertainty
health risk assessment
value of information

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10.1007/s10669-013-9471-4

Cite this

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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.",

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AB - 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.

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KW - decision making under uncertainty

KW - health risk assessment

KW - value of information

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

Abstract

UN SDGs

Keywords

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