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A Bayesian calibration approach to the thermal problem
4 references·16 citing·41 second hop
A Bayesian calibration approach to the thermal problem (2008)A Bayesian calibration approach to the th…Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)Probabilistic Sensitivity Ana…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…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Bayesian calibration of multi-level model with unobservable distributed response and application to miter gates (2022)Bayesian calibration of multi…Uncertainty quantification for Multiphase-CFD simulations of bubbly flows: a machine learning-based Bayesian approach supported by high-resolution experiments (2021)Uncertainty quantification fo…Advances in Bayesian Probabilistic Modeling for Industrial Applications (2020)Advances in Bayesian Probabil…A sequential calibration and validation framework for model 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this work references cited by second hop

References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 2003The Design and Analysis of Computer Experiments2,204 cited
  • 2004Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach1,085 cited
  • 2004Combining Field Data and Computer Simulations for Calibration and Prediction622 cited

Cited by

  • 2019Review of statistical model calibration and validation—from the perspective of uncertainty structures99 cited
  • 2020A sequential calibration and validation framework for model uncertainty quantification and reduction95 cited
  • 2010A hierarchical framework for statistical model calibration in engineering product development76 cited
  • 2021Uncertainty quantification for Multiphase-CFD simulations of bubbly flows: a machine learning-based Bayesian approach supported by high-resolution experiments73 cited
  • 2009A multi-resolution, non-parametric, Bayesian framework for identification of spatially-varying model parameters70 cited
  • 2019Uncertainty quantification of two-phase flow and boiling heat transfer simulations through a data-driven modular Bayesian approach59 cited
  • 2010Defining predictive maturity for validated numerical simulations57 cited
  • 2017Time-dependent concurrent reliability-based design optimization integrating experiment-based model validation45 cited
  • 2017Bayesian Calibration and Uncertainty Quantification for a Physics-Based Precipitation Model of Nickel–Titanium Shape-Memory Alloys

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38 cited
  • 2012Error and Uncertainty Analysis of Inexact and Imprecise Computer Models37 cited
  • 2014A framework of model validation and virtual product qualification with limited experimental data based on statistical inference37 cited
  • 2019Validation and uncertainty quantification of multiphase-CFD solvers: A data-driven Bayesian framework supported by high-resolution experiments34 cited
  • 2020Advances in Bayesian Probabilistic Modeling for Industrial Applications32 cited
  • 2017A surrogate modeling approach for reliability analysis of a multidisciplinary system with spatio-temporal output30 cited
  • 2016Model uncertainty approximation using a copula-based approach for reliability based design optimization28 cited
  • 2022Bayesian calibration of multi-level model with unobservable distributed response and application to miter gates24 cited