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

Authors

2.4K

  1. SH
    Soo Hak Sung

    Pai Chai University, South Korea

    13 publications · 334 citations

    12

    h-index

  2. SK
    Samuel Kotz

    George Washington University, United States

    10 publications · 2.3K citations

    10

    h-index

  3. SN
    Saralees Nadarajah

    University of Manchester, United Kingdom

    9 publications · 350 citations

    9

    h-index

  4. PC
    Pingyan Chen

    Southern Medical University, China

    6 publications · 130 citations

    6

    h-index

  5. IG
    Irène Gijbels

    KU Leuven, Belgium

    6 publications · 234 citations

    6

    h-index

1–5 of 2.4K

Venues

  1. The Annals of Statistics

    59 publications · 10.3K citations

    40

    h-index

  2. Journal of the American Statistical Association

    58 publications · 5.9K citations

    32

    h-index

  3. The Annals of Mathematical Statistics

    42 publications · 4.8K citations

    29

    h-index

  4. Journal of Multivariate Analysis

    36 publications · 1.9K citations

    24

    h-index

  5. The Annals of Probability

    33 publications · 2K citations

    24

    h-index

1–5