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

Gradowska, Patrycja L and Cooke, Roger M (2013) Estimating expected value of information using Bayesian belief networks : a case study in fish consumption advisory. Environment Systems and Decisions. pp. 1-10. (In Press) (https://doi.org/10.1007/s10669-013-9471-4)

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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• Item metadata

  Item type:	Article
  ID code:	45166
  Dates:	Date Event September 2013 Published September 2013 Accepted
  Subjects:	Social Sciences > Industries. Land use. Labor > Management. Industrial Management
  Department:	Strathclyde Business School > Management Science
  Depositing user:	Pure Administrator
  Date deposited:	15 Oct 2013 10:56
  Last modified:	11 Nov 2024 10:31
  Related URLs:	Scopus publication
  URI:	https://strathprints.strath.ac.uk/id/eprint/45166