Random Vector Characteristic Functions
Random Vector Characteristic Functions is a mathematical construct in probability theory that uniquely characterizes the joint distribution of a random vector by defining the expected value of the complex exponential of its linear transformation, thereby extending the notion of a scalar characteristic function to multivariate settings.
18
Publications
723
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32
Authors
23
Institutions
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2017–2026
2
Parents
18
RANDOM VECTOR AND MATRIX THEORIES: A RENORMALIZATION GROUP APPROACH
Jean Zinn‐Justin · 2016 · 34 citations
1–5 of 18
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National and Kapodistrian University of Athens, Greece
1 publications · 25 citations
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National and Kapodistrian University of Athens
Athens, Greece
2 h-index
3 publications
115 citations
Laboratoire des Sciences pour la Conception, l'Optimisation et la Production
Grenoble, France
1 h-index
1 publications
13 citations

Yazd University
Yazd, Iran
1 h-index
2 publications
46 citations

Universidad Politécnica de Cartagena
Cartagena, Spain
1 h-index
1 publications
13 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
1 h-index
1 publications
25 citations
Heriot-Watt University Malaysia
Putrajaya, Malaysia
1 h-index
1 publications
19 citations
University of Almería
Almería, Spain
1 h-index
1 publications
23 citations
CEA Paris-Saclay
Gif-sur-Yvette, France
1 h-index
1 publications
34 citations
1–8 of 23
2 publications · 82 citations
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1 publications · 45 citations
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1 publications · 33 citations
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EJP · 1 publications · 23 citations
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1 publications · 24 citations
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