Stable Convergence

Stable Convergence is a type of convergence in probability theory where a sequence of random variables converges in distribution to a limiting random variable on an enriched probability space, such that the limit remains measurable with respect to the original σ-algebra augmented by an independent source of randomness.

379

Publications

24K

Citations

879

Authors

430

Institutions

Publications per year

2017–2026

71

Authors

879

  1. GP
    Giovanni Peccati

    University of Luxembourg, Luxembourg

    5 publications · 122 citations

    5

    h-index

  2. LH
    Lothar Heinrich

    TU Bergakademie Freiberg, Germany

    4 publications · 90 citations

    4

    h-index

  3. MS
    Murad S. Taqqu

    Boston University, United States

    4 publications · 93 citations

    4

    h-index

  4. MP
    Mark Podolskij

    Aarhus University, Denmark

    4 publications · 444 citations

    4

    h-index

  5. OA
    Owe Axelsson

    Radboud University Nijmegen, Netherlands

    3 publications · 167 citations

    3

    h-index

1–5 of 879

Venues

  1. The Annals of Probability

    13 publications · 1K citations

    12

    h-index

  2. arXiv (Cornell University)

    Repository · 10 publications · 588 citations

    10

    h-index

  3. Stochastic Processes and their Applications

    8 publications · 215 citations

    8

    h-index

  4. Bernoulli

    8 publications · 576 citations

    8

    h-index

  5. Journal of Computational Physics

    7 publications · 843 citations

    7

    h-index

1–5