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Adversarial risk analysis (ARA) is a relatively new area of research that informs decision-making when facing intelligent opponents and uncertain outcomes. It is a decision-theoretic alternative to game theory. ARA enables an analyst to express [...]texto impreso
Gallego, Víctor ; Suarez García, Pablo ; Angulo, Pablo ; Gómez-Ullate Otaiza, David | Wiley | 2019-05We propose a robust implementation of the Nerlove-Arrow model using a Bayesian structural time series model to explain the relationship between advertising expenditures of a countrywide fast-food franchise network with its weekly sales. Due to t[...]texto impreso
Adversarial classification (AC) is a major subfield within the increasingly important domain of adversarial machine learning (AML). So far, most approaches to AC have followed a classical game-theoretic framework. This requires unrealistic commo[...]
