Conditional Weak Convergence

Conditional Weak Convergence is a mode of stochastic convergence in probability theory where a sequence of random variables converges weakly to a limiting random variable given the sigma-algebra generated by a conditioning variable, thereby generalizing standard weak convergence by incorporating dependence on additional information.

180

Publications

9K

Citations

264

Authors

179

Institutions

Publications per year

2017–2026

21

Authors

264

  1. SB
    Salim Bouzebda

    Université de Technologie de Compiègne, France

    7 publications · 162 citations

    7

    h-index

  2. GO
    Gareth O. Roberts

    University of Warwick, United Kingdom

    3 publications · 95 citations

    3

    h-index

  3. DL
    Donald L. Iglehart

    Stanford University, United States

    3 publications · 199 citations

    3

    h-index

  4. LP
    Limin Peng

    Emory University, United States

    3 publications · 122 citations

    3

    h-index

  5. SJ
    Saul Jacka

    University of Warwick, United Kingdom

    3 publications · 95 citations

    3

    h-index

1–5 of 264

Venues

  1. The Annals of Probability

    13 publications · 923 citations

    13

    h-index

  2. The Annals of Statistics

    10 publications · 718 citations

    10

    h-index

  3. Stochastic Processes and their Applications

    10 publications · 299 citations

    10

    h-index

  4. Statistics & Probability Letters

    6 publications · 83 citations

    7

    h-index

  5. Journal of Applied Probability

    JAP · 5 publications · 181 citations

    5

    h-index

1–5