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BAYESIAN CALIBRATION WITH ADAPTIVE MODEL DISCREPANCY
15 references·0 citing·43 second hop
BAYESIAN CALIBRATION WITH ADAPTIVE MODEL DISCREPANCY (2023)BAYESIAN CALIBRATION WITH ADAPTIVE MODEL …A surrogate-based optimal likelihood function for the Bayesian calibration of catalytic recombination in atmospheric entry protection materials (2021)A surrogate-based optimal lik…Model discrepancy calibration across experimental settings (2020)Model discrepancy calibration…Embedded Model Error Representation for Bayesian Model Calibration (2020)Embedded Model Error Represen…Dealing with Measurement Uncertainties as Nuisance Parameters in Bayesian Model Calibration (2020)Dealing with Measurement Unce…Selection of model discrepancy priors in Bayesian calibration (2014)Selection of model discrepanc…Bayesian Calibration of Aerothermal Models for Hypersonic Air Vehicles (2013)Bayesian Calibration of Aerot…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 …A sequential approach for stochastic computer model calibration and prediction (2012)A sequential approach for sto…Verification and Validation in Scientific Computing (2010)Verification and Validation i…Statistical Adjustments to Engineering Models (2009)Statistical Adjustments to En…A Framework for Validation of Computer Models (2007)A Framework for Validation of…Combining Field Data and Computer Simulations for Calibration and Prediction (2004)Combining Field Data and Comp…Interpolation of Spatial Data (1999)Interpolation of Spatial DataThe maximum Theorem and the existence of Nash equilibrium of (generalized) games without lower semicontinuities (1992)The maximum Theorem and the e…Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)Global Sensitivity Analysis. 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(1993)Uncertainty quantification in multiscale simulation of woven fiber composites (2018)Review of statistical model calibration and validation—from the perspective of uncertainty structures (2019)Minimax and maximin distance designs (1990)Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009)Stochastic Finite Elements: A Spectral Approach (1991)Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2005)Uncertainty Quantification: Theory, Implementation, and Applications (2013)An extended polynomial chaos expansion for PDF characterization and variation with aleatory and epistemic uncertainties (2021)Towards robust statistical inference for complex computer models (2021)Stochastic multiscale modeling for quantifying statistical and model errors with application to composite materials (2023)The Design and Analysis of Computer Experiments (2003)Statistics for experimenters: design, innovation, and discovery (2006)Regression-Based Inverse Distance Weighting With Applications to Computer Experiments (2011)Fast Sequential Computer Model Calibration of Large Nonstationary Spatial-Temporal Processes (2013)Engineering-Driven Statistical Adjustment and Calibration (2014)Fractional Brownian Motions, Fractional Noises and Applications (1968)Recovery of Inter-Block Information when Block Sizes are Unequal (1971)Model-Based Geostatistics (1998)Multivariable geostatistics in S: the gstat package (2004)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)Imprecise probabilities in engineering analyses (2013)Combustion kinetic model uncertainty quantification, propagation and minimization (2014)
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References

  • 1999Interpolation of Spatial Data2,362 cited
  • 2010Verification and Validation in Scientific Computing1,551 cited
  • 2007A Framework for Validation of Computer Models656 cited
  • 2004Combining Field Data and Computer Simulations for Calibration and Prediction622 cited
  • 2012Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability332 cited
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  • 2014Selection of model discrepancy priors in Bayesian calibration99 cited
  • 2009Statistical Adjustments to Engineering Models89 cited
  • 2020Embedded Model Error Representation for Bayesian Model Calibration59 cited
  • 1992The maximum Theorem and the existence of Nash equilibrium of (generalized) games without lower semicontinuities42 cited
  • 2020Model discrepancy calibration across experimental settings41 cited
  • 2012A sequential approach for stochastic computer model calibration and prediction21 cited
  • 2013Bayesian Calibration of Aerothermal Models for Hypersonic Air Vehicles20 cited
  • 2021A surrogate-based optimal likelihood function for the Bayesian calibration of catalytic recombination in atmospheric entry protection materials19 cited
  • 2020

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Dealing with Measurement Uncertainties as Nuisance Parameters in Bayesian Model Calibration
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