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

Patrycja L. Gradowska () and Roger Cooke
Additional contact information
Patrycja L. Gradowska: Delft University of Technology

Environment Systems and Decisions, 2014, vol. 34, issue 1, 88-97

Abstract: 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.

Keywords: Bayesian belief networks; Decision making under uncertainty; Health risk assessment; Value of information (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s10669-013-9471-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:envsyd:v:34:y:2014:i:1:d:10.1007_s10669-013-9471-4

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10669

DOI: 10.1007/s10669-013-9471-4

Access Statistics for this article

More articles in Environment Systems and Decisions from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().