TY - JOUR
T1 - Estimating expected value of information using Bayesian belief networks
T2 - a case study in fish consumption advisory
AU - Gradowska, Patrycja L
AU - Cooke, Roger M
PY - 2013/9
Y1 - 2013/9
N2 - 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.
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.
KW - Bayesian belief networks
KW - decision making under uncertainty
KW - health risk assessment
KW - value of information
UR - http://www.scopus.com/inward/record.url?scp=84883159452&partnerID=8YFLogxK
U2 - 10.1007/s10669-013-9471-4
DO - 10.1007/s10669-013-9471-4
M3 - Article
SP - 1
EP - 10
JO - Environment Systems and Decisions
JF - Environment Systems and Decisions
ER -