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 journalArticle

3 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.
LanguageEnglish
Pages1-10
Number of pages10
JournalEnvironment Systems and Decisions
DOIs
Publication statusAccepted/In press - Sep 2013

Fingerprint

prioritization
fish
calculation
consumption

Keywords

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

Cite this

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Estimating expected value of information using Bayesian belief networks : a case study in fish consumption advisory. / Gradowska, Patrycja L; Cooke, Roger M.

In: Environment Systems and Decisions, 09.2013, p. 1-10.

Research output: Contribution to journalArticle

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