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SURROGATE PREPOSTERIOR ANALYSES FOR PREDICTING AND ENHANCING IDENTIFIABILITY IN MODEL CALIBRATION
14 references·0 citing·37 second hop
SURROGATE PREPOSTERIOR ANALYSES FOR PREDICTING AND ENHANCING IDENTIFIABILITY IN MODEL CALIBRATION (2015)SURROGATE PREPOSTERIOR ANALYSES FOR PREDI…A preposterior analysis to predict identifiability in the experimental calibration of computer models (2015)A preposterior analysis to pr…Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability (2012)Quantification of Model Uncer…Improving Identifiability in Model Calibration Using Multiple Responses (2012)Improving Identifiability in …Calibration and Uncertainty Analysis for Computer Simulations with Multivariate Output (2008)Calibration and Uncertainty A…A Bayesian analysis of the thermal challenge problem (2008)A Bayesian analysis of the th…A Framework for Validation of Computer Models (2007)A Framework for Validation of…A Design-Driven Validation Approach Using Bayesian Prediction Models (2007)A Design-Driven Validation Ap…Metamodeling: a state of the art review (2005)Metamodeling: a state of the …Integrated Analysis of Computer and Physical Experiments (2004)Integrated Analysis of Comput…Combining Field Data and Computer Simulations for Calibration and Prediction (2004)Combining Field Data and Comp…The Design and Analysis of Computer Experiments (2003)The Design and Analysis of Co…Metamodeling: a state of the art review (1994)Metamodeling: a state of the …A Bayesian Analysis of Kriging (1993)A Bayesian Analysis of KrigingDesign and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Calibration, validation, and sensitivity analysis: What's what (2006)Measures of agreement between computation and experiment: Validation metrics (2006)ON STATIONARY PROCESSES IN THE PLANE (1954)Spatial Statistics (1981)Spatial statistics (1981)Objective Bayesian Analysis of Spatially Correlated Data (2001)Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics (2004)Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets (2008)STATISTICS FOR SPATIAL DATA (1992)Reliability Analysis With Monte Carlo Simulation and Dependent Kriging Predictions (2016)A Tutorial on Bayesian Inference to Identify Material Parameters in Solid Mechanics (2019)Modeling, analysis, and optimization under uncertainties: a review (2021)Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization (2000)Validation of imprecise probability models (2009)Probabilistic risk assessment based model validation method using Bayesian network (2017)Review of statistical model calibration and validation—from the perspective of uncertainty structures (2019)Statistical Methods for Meta-Analysis (1988)Construction of nested space-filling designs (2009)Small Sample Bayesian Designs for Complex High-Dimensional Models Based on Information Gained Using Fast Approximations (2009)Statistical Adjustments to Engineering Models (2009)Statistics for Spatial Data. (1993)Selection of model discrepancy priors in Bayesian calibration (2014)Uncertainty quantification in multiscale simulation of woven fiber composites (2018)Minimax and maximin distance designs (1990)Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009)Interpolation of Spatial Data (1999)Separation of aleatory and epistemic uncertainty in probabilistic model validation (2015)Kriging-based inverse uncertainty quantification of nuclear fuel performance code BISON fission gas release model using time series measurement data (2017)Uncertainty Quantification Metrics with Varying Statistical Information in Model Calibration and Validation (2017)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)A Review on Global Sensitivity Analysis Methods (2015)Sensitivity analysis: A review of recent advances (2015)
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References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 2003The Design and Analysis of Computer Experiments2,204 cited
  • 2007A Framework for Validation of Computer Models656 cited
  • 2004Combining Field Data and Computer Simulations for Calibration and Prediction622 cited
  • 1993A Bayesian Analysis of Kriging585 cited
  • 2012Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability332 cited
  • 2012Improving Identifiability in Model Calibration Using Multiple Responses136 cited
  • 2007A Design-Driven Validation Approach Using Bayesian Prediction Models109 cited
  • 2004Integrated Analysis of Computer and Physical Experiments106 cited
  • 2008Calibration and Uncertainty Analysis for Computer Simulations with Multivariate Output91 cited
  • 1994Metamodeling: a state of the art review91 cited
  • 2008A Bayesian analysis of the thermal challenge problem65 cited
  • 2005Metamodeling: a state of the art review60 cited
  • 2015A preposterior analysis to predict identifiability in the experimental calibration of computer models40 cited

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