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

Patrycja L Gradowska, Roger M Cooke

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


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 languageEnglish
Pages (from-to)1-10
Number of pages10
JournalEnvironment Systems and Decisions
Publication statusAccepted/In press - Sep 2013


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

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