SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A modular Bayesian approach to model calibration of low‐fidelity simulation models
15 references·0 citing·44 second hopsampled
A modular Bayesian approach to model calibration of low‐fidelity simulation models (2023)A modular Bayesian approach to model cali…Differentiating effects of input aleatory and epistemic uncertainties on system output: A separating sensitivity analysis approach (2022)Differentiating effects of in…Measuring Conflicts of Multisource Imprecise Information in Multistate System Reliability Assessment (2021)Measuring Conflicts of Multis…A sequential calibration and validation framework for model uncertainty quantification and reduction (2020)A sequential calibration and …Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization (2018)Survey of Multifidelity Metho…Estimating Material Properties Under Extreme Conditions by Using Bayesian Model Calibration with Functional Outputs (2018)Estimating Material Propertie…Uncertainty Quantification of Turbulence Model Closure Coefficients for Transonic Wall-Bounded Flows (2016)Uncertainty Quantification of…Integrating Bayesian Calibration, Bias Correction, and Machine Learning for the 2014 Sandia Verification and Validation Challenge Problem (2015)Integrating Bayesian Calibrat…Imprecise probabilities in engineering analyses (2013)Imprecise probabilities in en…Improving Identifiability in Model Calibration Using Multiple Responses (2012)Improving Identifiability in …Toward a Better Understanding of Model Validation Metrics (2011)Toward a Better Understanding…A better understanding of model updating strategies in validating engineering models (2008)A better understanding of mod…A Bayesian calibration approach to the thermal problem (2008)A Bayesian calibration approa…A Bayesian analysis of the thermal challenge problem (2008)A Bayesian analysis of the th…Calibration, validation, and sensitivity analysis: What's what (2006)Calibration, validation, and …Optimal Latin-hypercube designs for computer experiments (1994)Optimal Latin-hypercube desig…Empirical Model Building and Response Surfaces (1988)STATISTICS FOR SPATIAL DATA (1992)Statistics for Spatial Data. (1993)Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian process, Part 1: Theory (2018)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Design and Analysis of Computer Experiments (1989)Orthogonal Column Latin Hypercubes and Their Application in Computer Experiments (1998)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Algorithmic construction of optimal symmetric Latin hypercube designs (2000)An efficient algorithm for constructing optimal design of computer experiments (2004)Fuzzy Sets and Systems - Theory and Applications (1980)Fuzzy Set Theory and Its Applications (1993)Fuzzy sets (1996)Advanced Line Sampling for efficient robust reliability analysis (2014)Recent Trends in the Modeling and Quantification of Non-probabilistic Uncertainty (2019)Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey (2020)The Design and Analysis of Computer Experiments (2003)Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)A hierarchical framework for statistical model calibration in engineering product development (2010)Review of statistical model calibration and validation—from the perspective of uncertainty structures (2019)Probability, reliability and statistical methods in engineering design (1999)Probability, Reliability and Statistical Methods in Engineering Design (2001)Verification, validation, and predictive capability in computational engineering and physics (2004)Quantitative model validation techniques: New insights (2012)Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems (2015)Combining Field Data and Computer Simulations for Calibration and Prediction (2004)A Framework for Validation of Computer Models (2007)Identifying elastoplastic parameters with Bayes’ theorem considering output error, input error and model uncertainty (2018)Stochastic Finite Elements: A Spectral Approach (1991)Global sensitivity analysis using polynomial chaos expansions (2007)Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics (2008)Uncertainty analysis of laminar and turbulent aeroheating predictions for Mars entry (2017)Uncertainty Quantification and Sensitivity Analysis of SA Turbulence Model Coefficients in Two and Three Dimensions (2017)An efficient approach for quantifying parameter uncertainty in the SST turbulence model (2019)A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2007)A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2008)Modeling, analysis, and optimization under uncertainties: a review (2021)Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability (2012)The statistical finite element method (statFEM) for coherent synthesis of observation data and model predictions (2020)A hybrid adaptive Kriging-based single loop approach for complex reliability-based design optimization problems (2021)System reliability analysis based on dependent Kriging predictions and parallel learning strategy (2021)Selection of model discrepancy priors in Bayesian calibration (2014)Uncertainty quantification in multiscale simulation of woven fiber composites (2018)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2018Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization1,072 cited
  • 1994Optimal Latin-hypercube designs for computer experiments634 cited
  • 2013Imprecise probabilities in engineering analyses505 cited
  • 2006Calibration, validation, and sensitivity analysis: What's what366 cited
  • 2011Toward a Better Understanding of Model Validation Metrics175 cited
  • 2008A better understanding of model updating strategies in validating engineering models146 cited
  • 2012Improving Identifiability in Model Calibration Using Multiple Responses136 cited
  • 2008A Bayesian calibration approach to the thermal problem132 cited
  • 2016Uncertainty Quantification of Turbulence Model Closure Coefficients for Transonic Wall-Bounded Flows120 cited
  • 2020A sequential calibration and validation framework for model uncertainty quantification and reduction95 cited
  • 2008A Bayesian analysis of the thermal challenge problem65 cited
  • 2015Integrating Bayesian Calibration, Bias Correction, and Machine Learning for the 2014 Sandia Verification and Validation Challenge Problem41 cited
  • 2018Estimating Material Properties Under Extreme Conditions by Using Bayesian Model Calibration with Functional Outputs38 cited
  • 2021Measuring Conflicts of Multisource Imprecise Information in Multistate System Reliability Assessment

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

30 cited
  • 2022Differentiating effects of input aleatory and epistemic uncertainties on system output: A separating sensitivity analysis approach24 cited
  • Cited by

    No citing works inside the corpus for this window.