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Prediction Uncertainty Controlled Computer Model Calibration

Byun, Ryan Heejoon et al.
arXiv (All) · Papers
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applicationscomputationmachine-learningmethodology
Computer-model calibration is usually undertaken in service of prediction, yet neither Bayesian Kennedy-O'Hagan (KOH) calibration nor amortized simulation-based inference is built to control the predictive error of the calibrated simulator. When parameters are weakly identified or the data-model dis
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