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A model validation framework based on parameter calibration under aleatory and epistemic uncertainty
16 references·1 citing·47 second hop
A model validation framework based on parameter calibration under aleatory and epistemic uncertainty (2020)A model validation framework based on par…Review of statistical model calibration and validation—from the perspective of uncertainty structures (2019)Review of statistical model c…Probability-interval hybrid uncertainty analysis for structures with both aleatory and epistemic uncertainties: a review (2017)Probability-interval hybrid u…Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems (2015)Integration of model verifica…Quantitative model validation techniques: New insights (2012)Quantitative model validation…Model validation under epistemic uncertainty (2011)Model validation under episte…Likelihood-based representation of epistemic uncertainty due to sparse point data and/or interval data (2011)Likelihood-based representati…Verification and validation of simulation models (2010)Verification and validation o…Verification and validation of simulation models (2009)Verification and validation o…Stochastic Kriging for Simulation Metamodeling (2009)Stochastic Kriging for Simula…Better simulation metamodeling: The why, what, and how of stochastic kriging (2009)Better simulation metamodelin…Eigenvector dimension reduction (EDR) method for sensitivity-free probability analysis (2008)Eigenvector dimension reducti…A better understanding of model updating strategies in validating engineering models (2008)A better understanding of mod…Model validation and predictive capability for the thermal challenge problem (2007)Model validation and predicti…Computational methods for model reliability assessment (2007)Computational methods for mod…Model Validation via Uncertainty Propagation and Data Transformations (2004)Model Validation via Uncertai…Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …A collaborative model calibration framework under uncertainty considering parameter distribution (2022)A collaborative model calibra…Exact and Invariant Second-Moment Code Format (1974)Structural reliability under combined random load sequences (1978)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Chaos control for numerical instability of first order reliability method (2009)A Maximum Confidence Enhancement Based Sequential Sampling Scheme for Simulation-Based Design (2013)A new directional stability transformation method of chaos control for first order reliability analysis (2016)Statistics for Spatial Data. 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References

  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 2009Stochastic Kriging for Simulation Metamodeling636 cited
  • 2010Verification and validation of simulation models421 cited
  • 2007Model validation and predictive capability for the thermal challenge problem322 cited
  • 2017Probability-interval hybrid uncertainty analysis for structures with both aleatory and epistemic uncertainties: a review186 cited
  • 2008Eigenvector dimension reduction (EDR) method for sensitivity-free probability analysis179 cited
  • 2011Likelihood-based representation of epistemic uncertainty due to sparse point data and/or interval data156 cited
  • 2009Verification and validation of simulation models150 cited
  • 2008A better understanding of model updating strategies in validating engineering models146 cited
  • 2012Quantitative model validation techniques: New insights137 cited
  • 2007Computational methods for model reliability assessment136 cited
  • 2015Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems123 cited
  • 2004Model Validation via Uncertainty Propagation and Data Transformations112 cited
  • 2019Review of statistical model calibration and validation—from the perspective of uncertainty structures

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99 cited
  • 2011Model validation under epistemic uncertainty95 cited
  • 2009Better simulation metamodeling: The why, what, and how of stochastic kriging92 cited
  • Cited by

    • 2022A collaborative model calibration framework under uncertainty considering parameter distribution13 cited