References

• 2004Combining Field Data and Computer Simulations for Calibration and Prediction622 cited
• 2006Calibration, validation, and sensitivity analysis: What's what366 cited
• 2018Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian process, Part 1: Theory131 cited
• 2017Kriging-based inverse uncertainty quantification of nuclear fuel performance code BISON fission gas release model using time series measurement data75 cited
• 2021Uncertainty quantification for Multiphase-CFD simulations of bubbly flows: a machine learning-based Bayesian approach supported by high-resolution experiments73 cited
• 2019Demonstration of the relationship between sensitivity and identifiability for inverse uncertainty quantification44 cited
• 2022Quantification of Deep Neural Network Prediction Uncertainties for VVUQ of Machine Learning Models28 cited

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