Scholarly Works - Book sections
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January 1, 2021
We argue that adversarial risk analysis may be incorporated into the structured expert judgement modelling toolkit for cases in which we need to forecast the actions of competitors based on expert knowledge. This is relevant in areas such as cybersecurity, ...
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January 1, 2018
We focus on concept uncertainty which adds a new layer to the traditional risk analysis distinction between aleatory and epistemic uncertainties, when adversaries are present. The idea is illustrated with a problem in adversarial point estimation framed as ...
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March 26, 2015
Agent-based models (ABMs) have become an important simulation tool for understanding certain categories of complex phenomena. They are widely used in epidemiology, ecology, transportation research, social networks, and other applications in which the globa ...
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February 1, 2013
This paper describes mathematical models for network evolution when ties (edges) are directed and the node set is fixed. Each of these models implies a specific type of departure from the standard null binomial model. We provide statistical tests that, in ...
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January 1, 2008
Critical infrastructure consists of the basic mechanisms and services essential for a society to function. It must be protected against natural and deliberate damage. These protective efforts should be selected according to careful risk analysis, with cons ...
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January 1, 2003
Federal agencies in the United States collect enormous quantities of data. Recently, they have begun to attempt to apply data mining to extract additional insights from their collections. ...
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