Mutual Information Estimation
Mutual Information Estimation is a statistical methodology that quantifies the degree of dependence between random variables by estimating the amount of information shared between them, distinguished from related inference techniques through its foundation in information-theoretic principles and entropy measures.
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2017–2026
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970
Alexander Kraskov, Harald Stögbauer, Peter Grassberger · Physical Review E · 2004 · 4.1K citations · Full text
Information Theory and Statistics.
Meyer Dwass, S. Kullback · American Mathematical Monthly · 1960 · 1.5K citations
Estimation of Entropy and Mutual Information
Liam Paninski · Neural Computation · 2003 · 1.5K citations
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Centre National de la Recherche Scientifique
Paris, France
17 h-index
51 publications
4.2K citations
Massachusetts Institute of Technology
Cambridge, United States
16 h-index
32 publications
1.6K citations
Princeton University
Princeton, United States
16 h-index
28 publications
2.4K citations
University of Illinois Urbana-Champaign
Urbana, United States
15 h-index
27 publications
2.1K citations
University of Florida
Gainesville, United States
13 h-index
26 publications
1.3K citations
Tsinghua University
Beijing, China
11 h-index
33 publications
6.1K citations
Carnegie Mellon University
Pittsburgh, United States
11 h-index
26 publications
2.3K citations
Stanford University
Stanford, United States
11 h-index
26 publications
1K citations
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Repository · 69 publications · 5.4K citations
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