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Validating predictions of unobserved quantities
9 references·10 citing·38 second hop
Validating predictions of unobserved quantities (2014)Validating predictions of unobserved quan…Verification and validation of simulation models (2011)Verification and validation o…Verification and Validation in Scientific Computing (2010)Verification and Validation i…Global Sensitivity Analysis: The Primer by Andrea Saltelli, Marco Ratto, Terry Andres, Francesca Campolongo, Jessica Cariboni, Debora Gatelli, Michaela Saisana, Stefano Tarantola (2008)Global Sensitivity Analysis: …Global Sensitivity Analysis (2008)Global Sensitivity AnalysisA Framework for Validation of Computer Models (2007)A Framework for Validation of…Uncertain Judgements: Eliciting Experts' Probabilities (2006)Uncertain Judgements: Eliciti…Combining Field Data and Computer Simulations for Calibration and Prediction (2004)Combining Field Data and Comp…Verification validation and accreditation of simulation models (1997)Verification validation and a…Global Sensitivity Analysis (1995)Global Sensitivity AnalysisA predictive multiphase model of silica aerogels for building envelope insulations (2022)A predictive multiphase model…Unified Framework and Survey for Model Verification, Validation and Uncertainty Quantification (2020)Unified Framework and Survey …Embedded Model Error Representation for Bayesian Model Calibration (2020)Embedded Model Error Represen…Approaches for Quantifying Uncertainties in Computational Modeling for Aerospace Applications (2020)Approaches for Quantifying Un…Physics-informed covariance kernel for model-form uncertainty quantification with application to turbulent flows (2019)Physics-informed covariance k…Representing Model Inadequacy: A Stochastic Operator Approach (2018)Representing Model Inadequacy…Global Sensitivity Analysis and Estimation of Model Error, Toward Uncertainty Quantification in Scramjet Computations (2018)Global Sensitivity Analysis a…Calibration and Uncertainty Quantification of VISTA Ablator Material Database Using Bayesian Inference (2018)Calibration and Uncertainty Q…A New Interval Area Metric for Model Validation With Limited Experimental Data (2018)A New Interval Area Metric fo…The parameter uncertainty inflation fallacy (2017)The parameter uncertainty inf…Principles of Operations Research. 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this work references cited by second hop

References

  • 2010Verification and Validation in Scientific Computing1,551 cited
  • 2006Uncertain Judgements: Eliciting Experts' Probabilities1,549 cited
  • 1995Global Sensitivity Analysis931 cited
  • 2007A Framework for Validation of Computer Models656 cited
  • 2004Combining Field Data and Computer Simulations for Calibration and Prediction622 cited
  • 2008Global Sensitivity Analysis: The Primer by Andrea Saltelli, Marco Ratto, Terry Andres, Francesca Campolongo, Jessica Cariboni, Debora Gatelli, Michaela Saisana, Stefano Tarantola511 cited
  • 2008Global Sensitivity Analysis415 cited
  • 1997Verification validation and accreditation of simulation models254 cited
  • 2011Verification and validation of simulation models203 cited

Cited by

  • 2020Unified Framework and Survey for Model Verification, Validation and Uncertainty Quantification71 cited
  • 2020Embedded Model Error Representation for Bayesian Model Calibration59 cited
  • 2018Representing Model Inadequacy: A Stochastic Operator Approach42 cited
  • 2017The parameter uncertainty inflation fallacy41 cited
  • 2018Global Sensitivity Analysis and Estimation of Model Error, Toward Uncertainty Quantification in Scramjet Computations34 cited

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2020
Approaches for Quantifying Uncertainties in Computational Modeling for Aerospace Applications
29 cited
  • 2019Physics-informed covariance kernel for model-form uncertainty quantification with application to turbulent flows22 cited
  • 2018Calibration and Uncertainty Quantification of VISTA Ablator Material Database Using Bayesian Inference15 cited
  • 2022A predictive multiphase model of silica aerogels for building envelope insulations10 cited
  • 2018A New Interval Area Metric for Model Validation With Limited Experimental Data10 cited