Convergence Of Random Variables

Convergence of Random Variables is a probabilistic concept in measure-theoretic probability theory that characterizes the behavior of a sequence of random variables approaching a limiting random variable according to specific criteria, such as almost sure convergence, convergence in probability, convergence in distribution, or convergence in mean.

369

Publications

27.3K

Citations

471

Authors

263

Institutions

Publications per year

2017–2026

46

Authors

471

  1. ES
    Ekrem Savaș

    Istanbul Commerce University, Türkiye

    13 publications · 702 citations

    12

    h-index

  2. QW
    Qunying Wu

    Guilin University of Technology, China

    10 publications · 251 citations

    10

    h-index

  3. AV
    Andrei Volodin

    University of Regina, Canada

    10 publications · 285 citations

    10

    h-index

  4. BC
    Binod Chandra Tripathy

    Institute of Advanced Study in Science and Technology, India

    9 publications · 326 citations

    9

    h-index

  5. AR
    Andrew Rosalsky

    University of Florida, United States

    8 publications · 196 citations

    8

    h-index

1–5 of 471

Venues

  1. The Annals of Mathematical Statistics

    21 publications · 1.4K citations

    17

    h-index

  2. Statistics & Probability Letters

    17 publications · 494 citations

    14

    h-index

  3. Journal of Inequalities and Applications

    17 publications · 392 citations

    12

    h-index

  4. Theory of Probability and Its Applications

    14 publications · 4.1K citations

    12

    h-index

  5. 11

    h-index

1–5