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cs.CE2026
Inference in the presence of model-form uncertainties: Leveraging a prediction-oriented approach to improve uncertainty characterization
Rebekah White, Rileigh Bandy, Teresa Portone
Bayesian inference is a popular approach to calibrating uncertainties, but it can underpredict such uncertainties when model misspecification is present, impacting its reliability…
cs.CE2025
Quantifying model prediction sensitivity to model-form uncertainty
Teresa Portone, Rebekah D. White, Joseph L. Hart
Model-form uncertainty (MFU) in assumptions made during physics-based model development is widely considered a significant source of uncertainty; however, there are limited approac…