Directed Network Inference
Directed Network Inference is a computational methodology within network inference that specifically aims to reconstruct asymmetric relationships between variables by identifying the directionality of interactions, distinguishing it from undirected or symmetric network reconstruction approaches.
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1.7K
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119
Authors
91
Institutions
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2017–2026
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Reliability of Inference of Directed Climate Networks Using Conditional Mutual Information
Jaroslav Hlinka, David Hartman, Martin Vejmelka et al. · Entropy · 2013 · 135 citations · Full text
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University of Minnesota
Minneapolis, United States
3 h-index
7 publications
465 citations

Imperial College London
London, United Kingdom
3 h-index
3 publications
173 citations
Humboldt-Universität zu Berlin
Berlin, Germany
2 h-index
4 publications
294 citations
London School of Economics and Political Science
London, United Kingdom
2 h-index
2 publications
42 citations

Potsdam Institute for Climate Impact Research
Potsdam, Germany
2 h-index
4 publications
417 citations

University of Warwick
Coventry, United Kingdom
2 h-index
2 publications
317 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
3 publications
124 citations
Tsinghua University
Beijing, China
2 h-index
8 publications
104 citations
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3 publications · 106 citations
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2 publications · 147 citations
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2 publications · 38 citations
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1 publications · 12 citations
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CBAC · 1 publications · 11 citations
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