Results 1 to 10 of about 36,029,037 (313)
npj Quantum Information, 2019 AbstractWe present a quantum algorithm that analyzes risk more efficiently than Monte Carlo simulations traditionally used on classical computers. We employ quantum amplitude estimation to price securities and evaluate risk measures such as Value at Risk and Conditional Value at Risk on a gate-based quantum computer.
Stefan Woerner, Daniel J. Egger
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A Risk Analysis of Risk Analysis [PDF]
Journal of Contemporary Water Research & Education, 2008 Probabilistic risk or decision analysis is the most rigourous approach to engineering solutions to fiddicult diecision making problems involvingt uncertainty. A large body of theory and applications has been developed for probabilistic risk analysis, and it is commonly taught at universities.
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Quarantine Risk Analysis [PDF]
Australian Journal of Agricultural and Resource Economics, 1997 Australia’s quarantine policy is based on the concept of manageable risk, which is underpinned by quarantine risk analysis, which this article examines with particular reference to recommendations of the 1996 Australian Quarantine Review. Quarantine risk assessment addresses disease concerns associated with any particular proposed import and may also ...
Nunn, Mike J., Nunn, Mike J.
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Acta Psychologica, 1980 Abstract Widespread public concern about risks of technology have made it necessary to develop rational means for measuring risks and to suggest procedures for rational decision making concerning risky technology. Such methods of risk analysis can contribute significantly to improve decision making but there are also several methodological problems ...
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Electronic Notes in Theoretical Computer Science, 2007 Risk analysis has recently emerged as a structured and precise methodology to help modern companies understand their risks and plan the relative countermeasures well in advance. It is based on a number of indicators: parameters that quantify the key concepts on which an enterprise designs its security and safety investments. A modificator is a function
G. BELLA +3 more
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Resilience in Risk Analysis and Risk Assessment [PDF]
, 2010 Resilience is the ability of a system to react to and recover from disturbances with minimal effects on dynamic stability. Resilience is needed as systems and organizations become more complex and interrelated and the consequences of accidents and incidents increase.
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Flood Risk Analysis on Terrains [PDF]
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017 An important problem in terrain analysis is modeling how water flows across a terrain and creates floods by filling up depressions. In this article, we study the flooding query problem: Preprocess a given terrain Σ, represented as a triangulated xy -monotone surface with n
Rav, Mathias +2 more
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IEEE AccessAssessing the financial risks is an essential component of portfolio management. This assessment involves the employment of one or more risk measures, i.e., quantitative coefficients employed to capture how risky a portfolio is. As the risk measures are important both to create and evaluate portfolios, it is imperative to understand their ...
Adriano Chaves Lisboa +8 more
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Journal of Law, Medicine & Ethics, 2000 The institutional review board (IRB) is the social-oversight mechanism charged with protecting research subjects. Performing this task competently requires that the IRB scrutinize informed-consent procedures, the balance of risks and potential benefits, and subject-selection procedures in research protocols.
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RISK PERCEPTION AND THE ANALYSIS OF RISK ATTITUDES* [PDF]
Australian Journal of Agricultural Economics, 1981 Risk has long been recognised as an important feature of the environment facing farmers. In recent years the von Neumann‐Morgenstern expected utility theory has been used to analyse decision making under risk. However, many people behave in a manner inconsistent with the expected utility theory.
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