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A Nonparametric-based Approach for the Characterization and Propagation of Epistemic Uncertainty due to Small Datasets
14 references·0 citing·48 second hop
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References

  • 2008Aleatory or epistemic? Does it matter?2,450 cited
  • 2010Verification and Validation in Scientific Computing1,551 cited
  • 2011A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing810 cited
  • 2008Analysis of structural reliability under parameter uncertainties184 cited
  • 2011Likelihood-based representation of epistemic uncertainty due to sparse point data and/or interval data156 cited
  • 2000Representing Both First- and Second-order Uncertainties by Monte Carlo Simulation for Groups of Patients114 cited
  • 2017On the quantification and efficient propagation of imprecise probabilities resulting from small datasets97 cited
  • 2012Distribution type uncertainty due to sparse and imprecise data65 cited
  • 2017Multifidelity Uncertainty Propagation via Adaptive Surrogates in Coupled Multidisciplinary Systems50 cited
  • 2008The use of kernel densities and confidence intervals to cope with insufficient data in validation experiments41 cited
  • 2018Global Sensitivity Analysis and Estimation of Model Error, Toward Uncertainty Quantification in Scramjet Computations34 cited
  • 2014Uncertainty quantification of an Aviation Environmental Toolsuite26 cited
  • 2012Quantification of model-form and parametric uncertainty using evidence theory21 cited
  • 2018Parametric Uncertainty Quantification of Aviation Environmental Design Tool

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