Predictable Stopping Times

Predictable Stopping Times is a stopping time for which there exists a sequence of earlier stopping times almost surely increasing to it, distinguishing it by its approximation from the left in the context of filtrations.

8

Publications

758

Citations

12

Authors

2

Institutions

Publications per year

2017–2026

1

Authors

12

  1. MM
    Michel Métivier

    École Polytechnique, France

    1 publications · 24 citations

    1

    h-index

  2. DA
    David Aldous

    University of California, Berkeley, United States

    1 publications · 370 citations

    1

    h-index

  3. JD
    Jacques du Toit

    University of the Witwatersrand, South Africa

    1 publications · 97 citations

    1

    h-index

  4. SS
    Shiqi Song

    Université d'Évry Val-d'Essonne, France

    1 publications · 12 citations

    1

    h-index

  5. OK
    Olav Kallenberg

    Auburn University, United States

    1 publications · 50 citations

    1

    h-index

1–5 of 12

Institutions

2

  1. University of Houston

    Houston, United States

    1 h-index

    2 publications

    22 citations

  2. University of Manchester

    Manchester, United Kingdom

    1 h-index

    2 publications

    194 citations

1–2 of 2

Venues

  1. The Annals of Probability

    4 publications · 456 citations

    4

    h-index

  2. Vision Research

    1 publications · 11 citations

    1

    h-index

  3. Electronic Communications in Probability

    ECP · 1 publications · 36 citations

    1

    h-index

  4. The Annals of Applied Probability

    1 publications · 97 citations

    1

    h-index

  5. The Annals of Mathematical Statistics

    1 publications · 158 citations

    1

    h-index

1–5