Copula Mutual Information
Copula Mutual Information is a measure of statistical dependence between random variables that quantifies their mutual information based on the copula density function, thus capturing the nonlinear and non-Gaussian interdependencies independent of marginal distributions.
31
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1.5K
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93
Authors
61
Institutions
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2017–2026
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Mutual information is copula entropy
Jian Ma, Zengqi Sun · Tsinghua Science & Technology · 2011 · 171 citations
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Max Planck Institute for Biological Cybernetics, Germany
2 publications · 426 citations
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University of Glasgow
Glasgow, United Kingdom
4 h-index
12 publications
2.2K citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
5 publications
270 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
5 publications
134 citations
Center for Neuroscience and Cognitive Systems
Rovereto, Italy
2 h-index
4 publications
94 citations
KU Leuven
Leuven, Belgium
2 h-index
6 publications
106 citations

Italian Institute of Technology
Genoa, Italy
2 h-index
4 publications
94 citations
Nanjing University
Nanjing, China
1 h-index
5 publications
295 citations
Hakim Sabzevari University
Sabzawār, Iran
1 h-index
1 publications
17 citations
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Repository · 3 publications · 155 citations
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1 publications · 59 citations
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1 publications · 45 citations
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1 publications · 17 citations
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1 publications · 21 citations
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