Measure-theoretic Probability

Measure-Theoretic Probability is a formal framework in probability theory that interprets probability as a special case of measure theory, where probabilities are defined as countably additive measures on a σ-algebra of events in a sample space.

3.3K

Publications

236.1K

Citations

3.5K

Authors

1.3K

Institutions

Publications per year

2017–2026

184

Authors

3.5K

  1. MT
    Michel Talagrand

    Sorbonne Université, France

    12 publications · 1.5K citations

    12

    h-index

  2. JF
    J. F. C. Kingmán

    University of Oxford, United Kingdom

    10 publications · 7K citations

    10

    h-index

  3. GD
    Gert de Cooman

    Ghent University, Belgium

    9 publications · 582 citations

    9

    h-index

  4. EP
    Endre Pap

    University of Novi Sad, Serbia

    9 publications · 462 citations

    9

    h-index

  5. RM
    Radko Mesiar

    Slovak University of Technology in Bratislava, Slovakia

    9 publications · 353 citations

    9

    h-index

1–5 of 3.5K

Venues

  1. The Annals of Probability

    120 publications · 6.9K citations

    44

    h-index

  2. Transactions of the American Mathematical Society

    TRAN · 112 publications · 5.7K citations

    39

    h-index

  3. Pacific Journal of Mathematics

    95 publications · 3.7K citations

    34

    h-index

  4. Proceedings of the American Mathematical Society

    PROC · 118 publications · 3.9K citations

    31

    h-index

  5. Fuzzy Sets and Systems

    84 publications · 3.6K citations

    29

    h-index

1–5