Alternative representations of epistemic uncertainty

By Jon C. Helton, William Oberkampf. Reliability Engineering & System Safety, 2004

304 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/e7dab5efebf91cd3001539686d9afa9234af5ef7

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In Management Science and Operations Research

Citations in the corpus

Aleatoric and epistemic uncertainty in groundwater flow and transport simulation (2009, background): “…in uncertainty are most often identified in risk assessment and reliability engineering [Helton et al., 2000a, 2000b, 2004; Hofer et al., 2002; Helton and Oberkampf, 2004; Oberkampf et al., 2004]; and only recently have these distinctions been identified in hydrogeological applications…”
Global sensitivity measures from given data (2013, methodology): “Refining results of (Homma and Saltelli, 1996; Saltelli, 2002), Saltelli et al. (2010) introduce a design for estimating first and total order variance-based sensitivity measures at C = k(n + 2) model runs.”
Reliability engineering: Old problems and new challenges (2009, background): “The former type of uncertainty is often referred to as objective, aleatory, stochastic whereas the latter is often referred to as subjective, epistemic, state-of-knowledge (Apostolakis, 1990; Helton, 2004).”
Uncertainty in flood damage estimates and its potential effect on investment decisions (2015, background): “Epistemic uncertainties are by definition not understood and can therefore not be represented by a frequency distribution (Helton and Oberkampf, 2004).”
A unified framework for multilevel uncertainty quantification in Bayesian inverse problems (2016, unknown): “Uncertainties can be accounted for in distinct mathematical frameworks and especially the representation of ignorance is the subject matter of ongoing debates [24, 25].”