Probabilistic Risk Analysis

By Asit P. Basu. 2002

540 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/037698989193787fae3e0c9b4901dbc1b93320d2

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In Statistics and Probability

Citations in the corpus

Expert judgement elicitation for risk assessments of critical infrastructures (2004, methodology): “Over the last 10 years the Delft University of Technology has developed methods and tools to support the formal application of expert judgement.”
The Value of Using Imprecise Probabilities in Engineering Design (2006, background): “In the first approach, the designer uses a purely probabilistic, precise best-fit normal distribution to represent uncertainty.”
Uncertain Risk Analysis and Uncertain Reliability Analysis (2010, unknown): “Risk analysis and reliability analysis have been discussed widely in literature, for example, Bedford and Cooke [1].”
Ruin theory revisited: stochastic models for operational risk (2002, background): “Similar approaches are well–known from the realm of reliability (see for instance Bedford and Cooke [10]), (non–life) insurance, reinsurance and total quality control (like in Does et al. [22]).”
Reliability engineering: Old problems and new challenges (2009, background): “…of occurrence of such scenarios becoming an additional key aspect to be quantified in order to rationally and quantitatively handle uncertainty (WASH-1400, 1975; NASA, 2002; Aven, 2003; Bedford and Cooke, 2001; Henley and Kumamoto, 1992; Kaplan and Garrick, 1984; McCormick, 1981; NUREG, 1983).”
A Bayesian Belief Network modelling of organisational factors in risk analysis: A case study in maritime transportation (2008, methodology): “Such events contribute to determine the probability of occurrence of the collision in accordance with the FT theory [30] given the influence of the organisational configuration variables (Ok): PðTEjOj;kÞ 1⁄4 X”
A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011, background): “The Bayesian approach to uncertainty quantification characterizes epistemic uncertainty as a PDF that represents the degree of belief of the true value on the part of the analyst [6]-[8].”
OWA aggregation over a continuous interval argument with applications to decision making (2004, background): “In order to get some understanding of this idea of A-B expected values, we shall consider as an example the special situation of the exponential probability distribution [22], [23].”