Adversarial Risk Analysis

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Adversarial Risk Analysis

Author	: David L. Banks
Publisher	: CRC Press
Total Pages	: 220
Release	: 2015-06-30
Genre	: Business & Economics
ISBN	: 1498712401

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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

Adversarial Risk Analysis Related Books

Language: en
Pages: 220

Adversarial Risk Analysis

Authors: David L. Banks

Categories: Business & Economics

Type: BOOK - Published: 2015-06-30 - Publisher: CRC Press

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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

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Contribuciones Al Análisis de Riesgos Adversarios

Authors: Jorge González Ortega

Categories:

Type: BOOK - Published: 2018 - Publisher:

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Game theory and other group decision-making paradigms, see Gibbons [1992], have been regarded for a long time inadequate in most risk analysis applications. How

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Security Risk Assessment

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Categories: Science

Type: BOOK - Published: 2017-11-20 - Publisher: Walter de Gruyter GmbH & Co KG

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This book deals with the state-of-the-art of physical security knowledge and research in the chemical and process industries. Legislation differences between Eu

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Expert Judgement in Risk and Decision Analysis

Authors: Anca M. Hanea

Categories: Business & Economics

Type: BOOK - Published: 2021-02-19 - Publisher: Springer Nature

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This book pulls together many perspectives on the theory, methods and practice of drawing judgments from panels of experts in assessing risks and making decisio

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Interpretable Machine Learning

Authors: Christoph Molnar

Categories: Artificial intelligence

Type: BOOK - Published: 2020 - Publisher: Lulu.com

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This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp