Uncertainty Decomposition
Uncertainty Decomposition is a systematic method within uncertainty analysis that partitions overall uncertainty in a model's output into distinct, interpretable components attributable to specific sources such as model structure, parameters, or input data.
92
Publications
4.4K
Citations
254
Authors
124
Institutions
Publications per year
2017–2026
43
92
A Guide to Uncertainty Analysis of Hot-Wire Data
Savas Yavuzkurt · Journal of Fluids Engineering · 1984 · 153 citations
D-decomposition technique state-of-the-art
Elena Gryazina, B. T. Polyak, Andrey Tremba · Automation and Remote Control · 2008 · 103 citations
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Massachusetts Institute of Technology
Cambridge, United States
4 h-index
9 publications
290 citations
Tsinghua University
Beijing, China
4 h-index
15 publications
569 citations

Pennsylvania State University
State College, United States
2 h-index
2 publications
221 citations
Sandia National Laboratories California
Livermore, United States
2 h-index
4 publications
142 citations
Oregon State University
Corvallis, United States
2 h-index
2 publications
26 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
2 h-index
6 publications
351 citations

Akita Prefectural University
Akita, Japan
2 h-index
3 publications
140 citations

Carleton University
Ottawa, Canada
2 h-index
3 publications
104 citations
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6 publications · 138 citations
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Repository · 4 publications · 117 citations
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3 publications · 73 citations
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2 publications · 954 citations
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2 publications · 102 citations
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