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A systematic approach to model validation based on Bayesian updates and prediction related rejection criteria
2 references·16 citing·43 second hop
A systematic approach to model validation based on Bayesian updates and prediction related rejection criteria (2008)A systematic approach to model validation…Stochastic Calculus: Applications in Science and Engineering (2002)Stochastic Calculus: Applicat…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…Unified Framework and Survey for Model Verification, Validation and Uncertainty Quantification (2020)Unified Framework and Survey …Uncertainty quantification in materials modeling (2020)Uncertainty quantification in…Model discrepancy calibration across experimental settings (2020)Model discrepancy calibration…Bayesian inference of random fields represented with the Karhunen–Loève expansion (2019)Bayesian inference of random …Representing Model Inadequacy: A Stochastic Operator Approach (2018)Representing Model Inadequacy…Novel model calibration method via non-probabilistic interval characterization and Bayesian theory (2018)Novel model calibration metho…Non-probabilistic Bayesian update method for model validation (2018)Non-probabilistic Bayesian up…Evidence-theory-based model validation method for heat transfer system with epistemic uncertainty (2018)Evidence-theory-based model v…Epistemic uncertainty-based model validation via interval propagation and parameter calibration (2018)Epistemic uncertainty-based m…Adaptive multiscale predictive modelling (2018)Adaptive multiscale predictiv…Predictive Computational Science: Computer Predictions in the Presence of Uncertainty (2017)Predictive Computational Scie…Validation metric based on Mahalanobis distance for models with multiple correlated responses (2016)Validation metric based on Ma…Virtual model validation of complex multiscale systems: Applications to nonlinear elastostatics (2013)Virtual model validation of c…Static Frame Model Validation with Small Samples Solution Using Improved Kernel Density Estimation and Confidence Level Method (2012)Static Frame Model Validation…On the assessment of a Bayesian validation methodology for data reduction models relevant to shock tube experiments (2011)On the assessment of a Bayesi…Control of modeling error in calibration and validation processes for predictive stochastic models (2010)Control of modeling error in …Simulation and the Monte Carlo Method (1981)The stochastic finite element method: Past, present and future (2008)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)The generalization of Latin hypercube sampling (2015)Simulation and the Monte Carlo Method (2016)Combining Field Data and Computer Simulations for Calibration and Prediction (2004)Verification, validation, and predictive capability in computational engineering and physics (2004)A Framework for Validation of Computer Models (2007)“Dave...I can assure you ...that it’s going to be all right ...” A Definition, Case for, and Survey of Algorithmic Assurances in Human-Autonomy Trust Relationships (2019)Modeling strength and failure variability due to porosity in additively manufactured metals (2020)Statistics for experimenters. 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this work references cited by second hop

References

  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
  • 2002Stochastic Calculus: Applications in Science and Engineering345 cited

Cited by

  • 2020Unified Framework and Survey for Model Verification, Validation and Uncertainty Quantification71 cited
  • 2018Adaptive multiscale predictive modelling57 cited
  • 2019Bayesian inference of random fields represented with the Karhunen–Loève expansion54 cited
  • 2017Predictive Computational Science: Computer Predictions in the Presence of Uncertainty53 cited
  • 2018Representing Model Inadequacy: A Stochastic Operator Approach42 cited
  • 2020Model discrepancy calibration across experimental settings41 cited
  • 2018Novel model calibration method via non-probabilistic interval characterization and Bayesian theory35 cited
  • 2016Validation metric based on Mahalanobis distance for models with multiple correlated responses28 cited
  • 2018Epistemic uncertainty-based model validation via interval propagation and parameter calibration27 cited
  • 2018Evidence-theory-based model validation method for heat transfer system with epistemic uncertainty26 cited
  • 2018Non-probabilistic Bayesian update method for model validation25 cited
  • 2013Virtual model validation of complex multiscale systems: Applications to nonlinear elastostatics

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24 cited
  • 2020Uncertainty quantification in materials modeling23 cited
  • 2011On the assessment of a Bayesian validation methodology for data reduction models relevant to shock tube experiments22 cited
  • 2010Control of modeling error in calibration and validation processes for predictive stochastic models20 cited
  • 2012Static Frame Model Validation with Small Samples Solution Using Improved Kernel Density Estimation and Confidence Level Method16 cited