EMBEDDED MODEL ERROR REPRESENTATION FOR BAYESIAN MODEL CALIBRATION

DOI10.1615/Int.J.UncertaintyQuantification.2019027384zbMath1498.62336arXiv1801.06768OpenAlexW2963142544WikidataQ127630457 ScholiaQ127630457MaRDI QIDQ5052372

Xun Huan, Habib N. Najm, Khachik V. Sargsyan

Publication date: 24 November 2022

Published in: International Journal for Uncertainty Quantification (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1801.06768

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of statistics in engineering and industry; control charts (62P30) Computational methods for problems pertaining to probability theory (60-08)

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Stochastic modeling and statistical calibration with model error and scarce data ⋮ Physics-informed information field theory for modeling physical systems with uncertainty quantification ⋮ Data-driven learning of differential equations: combining data and model uncertainty ⋮ An extended polynomial chaos expansion for PDF characterization and variation with aleatory and epistemic uncertainties

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