Representing Model Discrepancy in Bound-to-Bound Data Collaboration

DOI10.1137/19M1270185zbMath1462.62765arXiv1907.00886WikidataQ114978690 ScholiaQ114978690MaRDI QIDQ5858423

Wenyu Li, James Oreluk, Michael Frenklach, Arun Hegde, Andrew K. Packard

Publication date: 13 April 2021

Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1907.00886

zbMATH Keywords

inverse problemuncertainty quantificationmodel discrepancybound-to-bound data collaboration

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Statistical aspects of big data and data science (62R07)

Uses Software

• SeDuMi
• CVX
• gss
• GRI-Mech 3.0
• BayesDA
• GitHub

Cites Work

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