Multivariate Random Variables
Multivariate Random Variables is a random vector consisting of two or more random variables defined on a common probability space, characterized by their joint probability distribution that captures the interdependencies among the variables.
1.4K
Publications
119.7K
Citations
2.4K
Authors
1K
Institutions
Publications per year
2017–2026
191
Variants
Random Vectors
Parents
1.4K
Applied Multivariate Statistical Analysis.
Andrea Johnson, Dean W. Wichern · Biometrics · 1988 · 11.4K citations
Alexander Kraskov, Harald Stögbauer, Peter Grassberger · Physical Review E · 2004 · 4.1K citations · Full text
Writing on dirty paper (Corresp.)
Mónica Costa · IEEE Transactions on Information Theory · 1983 · 3.8K citations
1–5 of 1.4K
2.4K
12
h-index
10
h-index
9
h-index
6
h-index
6
h-index
1–5 of 2.4K
1K
Texas A&M University
College Station, United States
16 h-index
23 publications
1.4K citations

Centre National de la Recherche Scientifique
Paris, France
15 h-index
24 publications
1.7K citations
University of Wisconsin–Madison
Madison, United States
14 h-index
15 publications
970 citations
Pai Chai University
Daejeon, South Korea
12 h-index
12 publications
324 citations
University of Washington
Seattle, United States
12 h-index
17 publications
692 citations
Purdue University West Lafayette
West Lafayette, United States
12 h-index
17 publications
503 citations
Stanford University
Stanford, United States
12 h-index
17 publications
5.5K citations
Massachusetts Institute of Technology
Cambridge, United States
11 h-index
21 publications
3K citations
1–8 of 1K
59 publications · 10.3K citations
40
h-index
58 publications · 5.9K citations
32
h-index
42 publications · 4.8K citations
29
h-index
36 publications · 1.9K citations
24
h-index
33 publications · 2K citations
24
h-index
1–5