Standard Probability Spaces

Standard Probability Spaces is a probability space that is isomorphic to the unit interval with Lebesgue measure or a countable disjoint union of such intervals, distinguished by its completeness, separability, and the existence of regular conditional probabilities, thereby ensuring analytic tractability and universality in probabilistic constructions.

55

Publications

2.4K

Citations

75

Authors

53

Institutions

Publications per year

2017–2026

5

Authors

75

  1. HL
    Hanfeng Li

    University at Buffalo, State University of New York, United States

    2 publications · 111 citations

    2

    h-index

  2. GH
    Greg Hjorth

    University of California, Los Angeles, United States

    2 publications · 149 citations

    2

    h-index

  3. PA
    Peter A. Loeb

    University of Illinois Urbana-Champaign, United States

    2 publications · 474 citations

    2

    h-index

  4. YK
    Yoshikata Kida

    Kyoto University, Japan

    2 publications · 21 citations

    2

    h-index

  5. ML
    Mariusz Lemańczyk

    Nicolaus Copernicus University, Poland

    2 publications · 47 citations

    2

    h-index

1–5 of 75

Venues

  1. Ergodic Theory and Dynamical Systems

    4 publications · 92 citations

    4

    h-index

  2. Duke Mathematical Journal

    DMJ · 3 publications · 99 citations

    3

    h-index

  3. Transactions of the American Mathematical Society

    TRAN · 3 publications · 547 citations

    3

    h-index

  4. ArXiv.org

    Repository · 3 publications · 95 citations

    3

    h-index

  5. Proceedings of the American Mathematical Society

    PROC · 2 publications · 48 citations

    2

    h-index

1–5