Stopping Time Approximation

Stopping Time Approximation is a mathematical framework within stochastic process theory that characterizes the nearly optimal prediction of a stopping time by a sequence of simpler or observable random times converging to it in a specified probabilistic sense.

70

Publications

3.1K

Citations

108

Authors

71

Institutions

Publications per year

2017–2026

2

Authors

108

  1. KC
    Krishnendu Chatterjee

    Institute of Science and Technology Austria, Austria

    2 publications · 123 citations

    2

    h-index

  2. VV
    Venugopal V. Veeravalli

    University of Illinois Urbana-Champaign, United States

    2 publications · 399 citations

    2

    h-index

  3. RH
    Rouzbeh Hasheminezhad

    Sharif University of Technology, Iran

    2 publications · 123 citations

    2

    h-index

  4. DS
    David Siegmund

    Stanford University, United States

    2 publications · 27 citations

    2

    h-index

  5. HR
    Hans Rudolf Lerche

    University of Freiburg, Germany

    2 publications · 27 citations

    2

    h-index

1–5 of 108

Venues

  1. The Annals of Applied Probability

    4 publications · 160 citations

    4

    h-index

  2. The Annals of Probability

    4 publications · 257 citations

    4

    h-index

  3. Advances in Applied Probability

    AAP · 4 publications · 53 citations

    4

    h-index

  4. Stochastic Processes and their Applications

    3 publications · 70 citations

    3

    h-index

  5. Journal of Applied Probability

    JAP · 2 publications · 41 citations

    3

    h-index

1–5