Stopping Times

A Stopping Time is a random variable that represents a specific instance at which a stochastic process is observed to satisfy a given condition, with the property that the decision to stop by a certain time depends only on the information available up to that time and not on future developments.

841

Publications

39.1K

Citations

1.2K

Authors

590

Institutions

Publications per year

2017–2026

79

Authors

1.2K

  1. SZ
    S. Zacks

    Binghamton University, United States

    12 publications · 342 citations

    12

    h-index

  2. DS
    David Siegmund

    Stanford University, United States

    12 publications · 1.7K citations

    11

    h-index

  3. GP
    Goran Peškir

    Aarhus University, Denmark

    12 publications · 673 citations

    11

    h-index

  4. AN
    Albert N. Shiryaev

    Steklov Mathematical Institute, Russia

    11 publications · 439 citations

    10

    h-index

  5. IK
    Ioannis Karatzas

    Columbia University, United States

    8 publications · 508 citations

    8

    h-index

1–5 of 1.2K

Venues

  1. The Annals of Probability

    60 publications · 3.6K citations

    30

    h-index

  2. Journal of Applied Probability

    JAP · 53 publications · 1.3K citations

    23

    h-index

  3. The Annals of Applied Probability

    26 publications · 1.3K citations

    21

    h-index

  4. Stochastic Processes and their Applications

    40 publications · 1.5K citations

    21

    h-index

  5. The Annals of Mathematical Statistics

    34 publications · 3.8K citations

    20

    h-index

1–5