Probability Space Extensions

Probability Space Extension is a formal framework that enlarges a given probability space by incorporating additional measurable sets or random elements while preserving the original probabilistic structure and satisfying the axioms of a probability space.

64

Publications

3.4K

Citations

108

Authors

79

Institutions

Publications per year

2017–2026

10

Authors

108

  1. QW
    Qunying Wu

    Guilin University of Technology, China

    2 publications · 30 citations

    2

    h-index

  2. PA
    Peter A. Loeb

    University of Illinois Urbana-Champaign, United States

    2 publications · 474 citations

    2

    h-index

  3. AN
    Ashkan Nikeghbali

    University of Zurich, Switzerland

    2 publications · 33 citations

    2

    h-index

  4. JN
    Joseph Najnudel

    University of Bristol, United Kingdom

    2 publications · 33 citations

    2

    h-index

  5. LH
    Louis H. Blake

    College of Staten Island, United States

    2 publications · 53 citations

    2

    h-index

1–5 of 108

Venues

  1. Annals of Mathematics

    3 publications · 878 citations

    3

    h-index

  2. Transactions of the American Mathematical Society

    TRAN · 2 publications · 474 citations

    2

    h-index

  3. 2

    h-index

  4. Fuzzy Sets and Systems

    2 publications · 250 citations

    2

    h-index

  5. Ergodic Theory and Dynamical Systems

    2 publications · 172 citations

    2

    h-index

1–5