Journal
RISK ANALYSIS
Volume 30, Issue 2, Pages 277-284Publisher
WILEY
DOI: 10.1111/j.1539-6924.2009.01273.x
Keywords
Benefit-cost analysis; info-gap; invasive species; nonstatistical uncertainty; sensitivity analysis
Categories
Funding
- Australian Centre of Excellence for Risk Analysis
- ACERA [0611]
- Commonwealth Environmental Research Facility for Applied Environmental Decision Analysis
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Bayes nets are used increasingly to characterize environmental systems and formalize probabilistic reasoning to support decision making. These networks treat probabilities as exact quantities. Sensitivity analysis can be used to evaluate the importance of assumptions and parameter estimates. Here, we outline an application of info-gap theory to Bayes nets that evaluates the sensitivity of decisions to possibly large errors in the underlying probability estimates and utilities. We apply it to an example of management and eradication of Red Imported Fire Ants in Southern Queensland, Australia and show how changes in management decisions can be justified when uncertainty is considered.
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