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EMBEDDED MODEL ERROR REPRESENTATION FOR BAYESIAN MODEL CALIBRATION
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References

  • 1991Stochastic Finite Elements: A Spectral Approach5,753 cited
  • 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 cited
  • 2013Uncertainty Quantification: Theory, Implementation, and Applications1,147 cited
  • 2007A Framework for Validation of Computer Models656 cited
  • 2004Combining Field Data and Computer Simulations for Calibration and Prediction622 cited
  • 2003Theorems and examples on high dimensional model representation450 cited
  • 2009Recent Advances in Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Analysis and Design371 cited
  • 2009Characterizing Structural Uncertainty in Decision Analytic Models: A Review and Application of Methods186 cited
  • 2015On the Statistical Calibration of Physical Models138 cited
  • 2011Managing Structural Uncertainty in Health Economic Decision Models: A Discrepancy Approach101 cited
  • 2009Statistical Adjustments to Engineering Models89 cited
  • 2014Validating predictions of unobserved quantities82 cited
  • 2014When Is a Model Good Enough? Deriving the Expected Value of Model Improvement via Specifying Internal Model Discrepancies61 cited
  • 2015Surrogate Models for Uncertainty Propagation and Sensitivity Analysis16 cited

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2017
Global Sensitivity Analysis and Quantification of Model Error for Large Eddy Simulation in Scramjet Design
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