Modes Of Convergence

Modes of Convergence is a theoretical construct in measure-theoretic probability that categorizes the distinct ways in which sequences of measurable functions or random variables may approach a limiting function or variable, distinguished by the specific conditions under which convergence occurs, such as almost sure convergence, convergence in probability, convergence in mean, and convergence in distribution.

15

Publications

899

Citations

22

Authors

22

Institutions

Publications per year

2017–2026

2

Variants

Types Of Convergence

Authors

22

  1. CT
    C. Tristan Stayton

    Bucknell University, United States

    1 publications · 122 citations

    1

    h-index

  2. JC
    Jere Cohen

    University of Maryland, Baltimore County, United States

    1 publications · 78 citations

    1

    h-index

  3. NS
    Nikolaos S. Papageorgiou

    National Technical University of Athens, Greece

    1 publications · 13 citations

    1

    h-index

  4. FC
    François Coquet

    Institut de recherche mathématique de Rennes, France

    1 publications · 15 citations

    1

    h-index

  5. GT
    Gongguo Tang

    Colorado School of Mines, United States

    1 publications · 73 citations

    1

    h-index

1–5 of 22

Venues

  1. Transactions of the American Mathematical Society

    TRAN · 2 publications · 44 citations

    2

    h-index

  2. Lithuanian Mathematical Journal

    1 publications · 15 citations

    1

    h-index

  3. Set-Valued Analysis

    1 publications · 24 citations

    1

    h-index

  4. The R Journal

    1 publications · 15 citations

    1

    h-index

  5. Comparative Economic Studies

    1 publications · 11 citations

    1

    h-index

1–5