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Generating Cyber Intelligence (CYBINT) scenarios & solutions to address uncertainty for decision-advantage: Using … Intelligence Engineering & Strategic Options Analysis -- A Macro Cyber Scenario Case Study using Intelligence Engineering … -- More than Semantics? Communication of (Un)certainty via ‘Estimative/Probabilistic Language’ -- Estimative …
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This paper provides a coherent method for scenario aggregation addressing model uncertainty. It is based on divergence … minimization from a reference probability measure subject to scenario constraints. An example from regulatory practice motivates …-at-risk and expected shortfall, are shown to be robust with respect to minimum divergence scenario aggregation. Various examples …
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forecast demand for the same product. We also model the evolutions of forecasts when decision makers have asymmetric demand … information and refer to it as the Martingale Model of Asymmetric Forecast Evolutions (MMAFE). This model helps us to study … credible forecast information from a manufacturer (agent) when both firms obtain asymmetric demand information for the end …
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