Continuous Probability Spaces

Continuous Probability Spaces is a probability space in which the sample space is uncountably infinite and the probability measure is defined via a cumulative distribution function that is absolutely continuous with respect to Lebesgue measure, distinguishing it from discrete or singular probability spaces.

258

Publications

12.9K

Citations

455

Authors

274

Institutions

Publications per year

2017–2026

38

Authors

455

  1. PV
    Pramod Viswanath

    University of Illinois Urbana-Champaign, United States

    2 publications · 125 citations

    2

    h-index

  2. YC
    Yutian Chen

    Google DeepMind (United Kingdom), United Kingdom

    2 publications · 168 citations

    2

    h-index

  3. PT
    Paulo Teotonio-Sobrinho

    Syracuse University, United States

    2 publications · 36 citations

    2

    h-index

  4. AG
    Alexander Gasnikov

    Moscow Institute of Physics and Technology, Russia

    2 publications · 73 citations

    2

    h-index

  5. GB
    Giuseppe Bimonte

    Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Italy

    2 publications · 36 citations

    2

    h-index

1–5 of 455

Venues

  1. arXiv (Cornell University)

    Repository · 15 publications · 383 citations

    12

    h-index

  2. Proceedings of the American Mathematical Society

    PROC · 10 publications · 205 citations

    10

    h-index

  3. Pacific Journal of Mathematics

    8 publications · 335 citations

    8

    h-index

  4. Journal of Multivariate Analysis

    7 publications · 437 citations

    7

    h-index

  5. Transactions of the American Mathematical Society

    TRAN · 7 publications · 215 citations

    7

    h-index

1–5