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Quantifying Multiple Types of Uncertainty in Physics-Based Simulation Using Bayesian Model Averaging
7 references·4 citing·43 second hop
Quantifying Multiple Types of Uncertainty in Physics-Based Simulation Using Bayesian Model Averaging (2011)Quantifying Multiple Types of Uncertainty…Quantification of model-form and predictive uncertainty for multi-physics simulation (2010)Quantification of model-form …A Bayesian approach for quantification of model uncertainty (2010)A Bayesian approach for quant…A better understanding of model updating strategies in validating engineering models (2008)A better understanding of mod…A Framework for Validation of Computer Models (2007)A Framework for Validation of…Model Validation via Uncertainty Propagation and Data Transformations (2004)Model Validation via Uncertai…Challenge problems: uncertainty in system response given uncertain parameters (2004)Challenge problems: uncertain…Two methods for the structured assessment of model uncertainty by experts in performance assessments of radioactive waste repositories (1996)Two methods for the structure…Comparison between Distance Functions for Approximate Bayesian Computation to Perform Stochastic Model Updating and Model Validation under Limited Data (2024)Comparison between Distance F…Bayesian Low-Fidelity Correction Approach to Multi-Fidelity Aerospace Design (2017)Bayesian Low-Fidelity Correct…Static Frame Model Validation with Small Samples Solution Using Improved Kernel Density Estimation and Confidence Level Method (2012)Static Frame Model Validation…Quantification of model-form and parametric uncertainty using evidence theory (2012)Quantification of model-form …Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review and annotated bibliography (1990)Selection of model discrepancy priors in Bayesian calibration (2014)Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems (2015)Review of statistical model calibration and validation—from the perspective of uncertainty structures (2019)Elementary Decision Theory. 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this work references cited by second hop

References

  • 2007A Framework for Validation of Computer Models656 cited
  • 2004Challenge problems: uncertainty in system response given uncertain parameters570 cited
  • 1996Two methods for the structured assessment of model uncertainty by experts in performance assessments of radioactive waste repositories175 cited
  • 2010A Bayesian approach for quantification of model uncertainty149 cited
  • 2008A better understanding of model updating strategies in validating engineering models146 cited
  • 2004Model Validation via Uncertainty Propagation and Data Transformations112 cited
  • 2010Quantification of model-form and predictive uncertainty for multi-physics simulation52 cited

Cited by

  • 2012Quantification of model-form and parametric uncertainty using evidence theory21 cited
  • 2017Bayesian Low-Fidelity Correction Approach to Multi-Fidelity Aerospace Design20 cited
  • 2012Static Frame Model Validation with Small Samples Solution Using Improved Kernel Density Estimation and Confidence Level Method16 cited
  • 2024Comparison between Distance Functions for Approximate Bayesian Computation to Perform Stochastic Model Updating and Model Validation under Limited Data11 cited

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