Multivariate Characteristic Functions
Multivariate Characteristic Functions is a mathematical construct in probability theory that extends the concept of characteristic functions to multivariate random vectors by uniquely representing the joint probability distribution through the expected value of the complex exponential function of a linear combination of the vector components.
378
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20.5K
Citations
549
Authors
356
Institutions
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2017–2026
25
Variants
Multivariate Characteristic Function
Parents
378
Symmetric Multivariate and Related Distributions.
Sanat K. Sarkar, Kai-Tai Fang, Samuel Kotz et al. · Journal of the American Statistical Association · 1991 · 1.6K citations
The Multivariate Normal Distribution
Alan Julian Izenman, Y. L. Tong · Technometrics · 1991 · 669 citations
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King Abdullah University of Science and Technology, Saudi Arabia
4 publications · 182 citations
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Bowling Green State University
Bowling Green, United States
7 h-index
8 publications
179 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
5 h-index
6 publications
386 citations

National and Kapodistrian University of Athens
Athens, Greece
4 h-index
5 publications
168 citations

Indian Institute of Technology Kanpur
Kanpur, India
4 h-index
4 publications
117 citations

University of Windsor
Windsor, Canada
4 h-index
6 publications
137 citations

University of Manchester
Manchester, United Kingdom
4 h-index
4 publications
76 citations
Texas A&M University
College Station, United States
3 h-index
3 publications
163 citations
Georgetown University
Washington, United States
3 h-index
5 publications
76 citations
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40 publications · 2.2K citations
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