Reconciling uncertain costs and benefits in bayes nets for invasive species management

Risk Analysis
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Abstract

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. ?? 2009 Society for Risk Analysis.
Publication type Article
Publication Subtype Journal Article
Title Reconciling uncertain costs and benefits in bayes nets for invasive species management
Series title Risk Analysis
DOI 10.1111/j.1539-6924.2009.01273.x
Volume 30
Issue 2
Year Published 2010
Language English
Larger Work Type Article
Larger Work Subtype Journal Article
Larger Work Title Risk Analysis
First page 277
Last page 284
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