Calibration Under Model Discrepancy
Calibration Under Model Discrepancy is a Bayesian calibration framework that explicitly accounts for systematic differences between computational models and observed data by incorporating a discrepancy term to ensure statistically coherent uncertainty quantification and parameter inference.
26
Publications
1.5K
Citations
80
Authors
54
Institutions
Publications per year
2017–2026
16
Parents
26
1–5 of 26
80
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54
University of Sheffield
Sheffield, United Kingdom
3 h-index
11 publications
315 citations
University of Colorado Boulder
Boulder, United States
2 h-index
3 publications
189 citations
The University of Texas at Austin
Austin, United States
2 h-index
3 publications
82 citations

Vanderbilt University
Nashville, United States
2 h-index
5 publications
306 citations
Los Alamos National Laboratory
Los Alamos, United States
2 h-index
4 publications
255 citations
Office of Science
Washington, United States
1 h-index
1 publications
58 citations

University of Exeter
Exeter, United Kingdom
1 h-index
2 publications
120 citations

Ural Federal University
Yekaterinburg, Russia
1 h-index
1 publications
58 citations
1–8 of 54
3 publications · 126 citations
3
h-index
2 publications · 337 citations
2
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MSSP · 2 publications · 46 citations
2
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CSDA · 1 publications · 36 citations
1
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1 publications · 12 citations
1
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1–5