Adversarial Risk Analysis
ISBN: 9780429162244
Platform/Publisher: Taylor & Francis / Chapman and Hall/CRC
Digital rights: Users: Unlimited; Printing: Unlimited; Download: Unlimited
Subjects: Mathematics & Statistics; Statistics & Probability; Game Theory; Operations Research; Statistics;

Winner of the 2017 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)A relatively new area of research, adversarial risk analysis (ARA) informs decision making when there are intelligent opponents and uncertain outcomes. Adversarial Risk Analysis develops methods for allocating defensive or offensive resources against

David L. Banks is a professor in the Department of Statistical Science at Duke University. His research interests include data mining and risk analysis.

Jesus Rios is a researcher in risk and decision analytics for the Cognitive Computing Department at the IBM Research Division. His research focuses on applying risk and decision analysis to solve complex business problems.

David Rios Insua is the AXA-ICMAT Chair in Adversarial Risk Analysis at the Institute of Mathematical Sciences ICMAT-CSIC and a member of the Spanish Royal Academy of Sciences. His research interests include risk analysis, decision analysis, Bayesian statistics, security, aviation safety, and social robotics.


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