Model Discrepancy Estimation
Model Discrepancy Estimation is a computational methodology in Multifidelity Uncertainty Quantification that characterizes the systematic error between a low-fidelity model and a high-fidelity reference model by identifying and quantifying the bias or structural inadequacy inherent in the low-fidelity approximation.
67
Publications
3.6K
Citations
188
Authors
102
Institutions
Publications per year
2017–2026
30
67
1–5 of 67
188
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2
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United States Air Force Research Laboratory, United States
2 publications · 31 citations
2
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2
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2
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1–5 of 188
102

Vanderbilt University
Nashville, United States
5 h-index
10 publications
397 citations
Georgia Institute of Technology
Atlanta, United States
4 h-index
8 publications
261 citations
University of Southern California
Los Angeles, United States
3 h-index
7 publications
404 citations
Los Alamos National Laboratory
Los Alamos, United States
3 h-index
3 publications
108 citations
University of Sheffield
Sheffield, United Kingdom
3 h-index
10 publications
723 citations
University of Colorado Boulder
Boulder, United States
2 h-index
2 publications
31 citations
Case Western Reserve University
Cleveland, United States
2 h-index
4 publications
584 citations

University of Macau
Macao, Macao
2 h-index
2 publications
34 citations
1–8 of 102
3 publications · 125 citations
3
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MSSP · 3 publications · 64 citations
3
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Repository · 3 publications · 135 citations
3
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2 publications · 79 citations
2
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2 publications · 342 citations
2
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1–5