Variance-based Decomposition
Variance-Based Decomposition is a systematic method in uncertainty quantification that decomposes the variance of a model output into contributions from individual input variables and their interactions, thereby enabling the identification of the most influential sources of uncertainty.
192
Publications
9.8K
Citations
496
Authors
292
Institutions
Publications per year
2017–2026
72
Parents
192
Does corporate strategy matter?
Edward H. Bowman, Constance E. Helfat · Strategic Management Journal · 2000 · 394 citations
Sensitivity analysis of model output
Karen Chan, Andrea Saltelli, Stefano Tarantola · 1997 · 314 citations · Full text
Computing, Environmental Engineering, Environmental Modeling +11
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292

University of Toronto
Toronto, Canada
6 h-index
12 publications
919 citations

Northwestern Polytechnical University
Xi'an, China
5 h-index
17 publications
484 citations
Princeton University
Princeton, United States
4 h-index
10 publications
1.6K citations

National Bureau of Economic Research
Cambridge, United States
4 h-index
6 publications
650 citations
Texas Biomedical Research Institute
San Antonio, United States
4 h-index
12 publications
473 citations

Pennsylvania State University
State College, United States
3 h-index
4 publications
119 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
7 publications
176 citations
Joint Research Centre
Ispra, Italy
3 h-index
7 publications
1.1K citations
1–8 of 292
Repository · 10 publications · 325 citations
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Repository · 5 publications · 206 citations
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SMJ · 4 publications · 672 citations
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3 publications · 142 citations
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2 publications · 43 citations
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