Infinitely Divisible Distributions

Infinitely Divisible Distributions is a probability distribution that can be expressed as the distribution of the sum of an arbitrary number of independent and identically distributed random variables for any positive integer.

285

Publications

13.2K

Citations

327

Authors

205

Institutions

Publications per year

2017–2026

13

Authors

327

  1. MM
    Makoto Maejima

    Keio University, Japan

    9 publications · 255 citations

    9

    h-index

  2. JR
    J. Rosiński

    University of Tennessee at Knoxville, United States

    8 publications · 706 citations

    8

    h-index

  3. KS
    Ken‐iti Sato

    Keio University, Japan

    8 publications · 304 citations

    8

    h-index

  4. OE
    Ole E. Barndorff–Nielsen

    Aarhus University, Denmark

    7 publications · 264 citations

    7

    h-index

  5. VP
    Vı́ctor Pérez-Abreu

    Mathematics Research Center, Mexico

    7 publications · 172 citations

    7

    h-index

1–5 of 327

Venues

  1. Theory of Probability and Its Applications

    27 publications · 1.3K citations

    17

    h-index

  2. Advances in Applied Probability

    AAP · 14 publications · 974 citations

    14

    h-index

  3. The Annals of Probability

    15 publications · 664 citations

    14

    h-index

  4. Journal of Applied Probability

    JAP · 18 publications · 1.1K citations

    13

    h-index

  5. The Annals of Mathematical Statistics

    15 publications · 521 citations

    13

    h-index

1–5