Correlation Matrix Modeling
Correlation Matrix Modeling is a statistical methodology that specifies the structure and estimation of pairwise dependence relationships among random variables within a correlation matrix, distinguished by its focus on modeling the interdependencies rather than marginal distributions in multivariate analysis.
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42.7K
Citations
1.5K
Authors
772
Institutions
Publications per year
2017–2026
126
Parents
639
Multi-Label Image Recognition With Graph Convolutional Networks
Zhao-Min Chen, Xiu-Shen Wei, Peng Wang et al. · 2019 · 1.2K citations
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Centre National de la Recherche Scientifique
Paris, France
11 h-index
18 publications
809 citations
National University of Singapore
Singapore, Singapore
11 h-index
16 publications
989 citations

University of Minnesota
Minneapolis, United States
8 h-index
14 publications
793 citations
Princeton University
Princeton, United States
8 h-index
13 publications
290 citations

University of Amsterdam
Amsterdam, The Netherlands
7 h-index
15 publications
1.2K citations

University of British Columbia
Vancouver, Canada
7 h-index
15 publications
1.7K citations

McGill University
Montreal, Canada
6 h-index
13 publications
662 citations
University of California, Berkeley
Berkeley, United States
6 h-index
12 publications
417 citations
1–8 of 772
14 publications · 1.6K citations
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MBR · 13 publications · 1.1K citations
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12 publications · 765 citations
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Repository · 11 publications · 530 citations
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12 publications · 624 citations
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