Skip to main content
Journal cover image

Adversarial risk analysis: Borel games

Publication ,  Journal Article
Banks, D; Petralia, F; Wang, S
Published in: Applied Stochastic Models in Business and Industry
March 1, 2011

Adversarial risk analysis (ARA) offers a new solution concept in game theory. This paper explores its application to a range of simple gambling games, enabling comparison with minimax solutions for similar problems. We find that ARA has several attractive advantages: it is easier to compute, it takes account of asymmetric information, it corresponds better to human behavior, and it reduces to previous solutions in appropriate circumstances. Copyright © 2011 John Wiley & Sons, Ltd.

Duke Scholars

Published In

Applied Stochastic Models in Business and Industry

DOI

EISSN

1526-4025

ISSN

1524-1904

Publication Date

March 1, 2011

Volume

27

Issue

2

Start / End Page

72 / 86

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 4901 Applied mathematics
  • 3502 Banking, finance and investment
  • 1502 Banking, Finance and Investment
  • 0104 Statistics
  • 0102 Applied Mathematics
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Banks, D., Petralia, F., & Wang, S. (2011). Adversarial risk analysis: Borel games. Applied Stochastic Models in Business and Industry, 27(2), 72–86. https://doi.org/10.1002/asmb.890
Banks, D., F. Petralia, and S. Wang. “Adversarial risk analysis: Borel games.” Applied Stochastic Models in Business and Industry 27, no. 2 (March 1, 2011): 72–86. https://doi.org/10.1002/asmb.890.
Banks D, Petralia F, Wang S. Adversarial risk analysis: Borel games. Applied Stochastic Models in Business and Industry. 2011 Mar 1;27(2):72–86.
Banks, D., et al. “Adversarial risk analysis: Borel games.” Applied Stochastic Models in Business and Industry, vol. 27, no. 2, Mar. 2011, pp. 72–86. Scopus, doi:10.1002/asmb.890.
Banks D, Petralia F, Wang S. Adversarial risk analysis: Borel games. Applied Stochastic Models in Business and Industry. 2011 Mar 1;27(2):72–86.
Journal cover image

Published In

Applied Stochastic Models in Business and Industry

DOI

EISSN

1526-4025

ISSN

1524-1904

Publication Date

March 1, 2011

Volume

27

Issue

2

Start / End Page

72 / 86

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 4901 Applied mathematics
  • 3502 Banking, finance and investment
  • 1502 Banking, Finance and Investment
  • 0104 Statistics
  • 0102 Applied Mathematics