Heavy-tailed Distributions

Heavy-Tailed Distributions is a probability distribution characterized by a higher likelihood of extreme values compared to light-tailed distributions such as the normal distribution, exhibiting slower decay in the tails of the distribution function.

2.4K

Publications

148.9K

Citations

4.4K

Authors

1.6K

Institutions

Publications per year

2017–2026

564

Variants

Fat-tailed Distributions

Authors

4.4K

  1. GM
    Gauss M. Cordeiro

    Universidade Federal de Pernambuco, Brazil

    18 publications · 2.3K citations

    17

    h-index

  2. MA
    Morad Alizadeh

    Persian Gulf University, Iran

    22 publications · 1.1K citations

    17

    h-index

  3. QT
    Qihe Tang

    University of Iowa, United States

    16 publications · 1.1K citations

    15

    h-index

  4. ZA
    Zubair Ahmad

    Yazd University, Iran

    17 publications · 579 citations

    15

    h-index

  5. TM
    Thomas Mikosch

    University of Copenhagen, Denmark

    16 publications · 959 citations

    15

    h-index

1–5 of 4.4K

Venues

  1. 40

    h-index

  2. The Annals of Statistics

    46 publications · 12.4K citations

    33

    h-index

  3. 28

    h-index

  4. Technometrics

    38 publications · 3.1K citations

    25

    h-index

  5. arXiv (Cornell University)

    Repository · 75 publications · 2K citations

    24

    h-index

1–5