Optional Sampling Theorem

The Optional Sampling Theorem is a fundamental result in stochastic process theory that establishes conditions under which the expected value of a stopped martingale at a bounded stopping time equals the initial expected value, thereby preserving the martingale property under optional sampling.

17

Publications

717

Citations

23

Authors

20

Institutions

Publications per year

2017–2026

0

Variants

Doob's Optional Sampling Theorem

Authors

23

  1. HU
    Hans U. Gerber

    University of Lausanne, Switzerland

    3 publications · 212 citations

    3

    h-index

  2. SZ
    Sergei Zuyev

    University of Strathclyde, United Kingdom

    2 publications · 61 citations

    2

    h-index

  3. AT
    Anton Thalmaier

    University of Luxembourg, Luxembourg

    2 publications · 77 citations

    2

    h-index

  4. JM
    Jin Ma

    The University of Sydney, Australia

    1 publications · 44 citations

    1

    h-index

  5. HS
    Hlias S. W. Shiu

    University of Lausanne, Switzerland

    1 publications · 83 citations

    1

    h-index

1–5 of 23

Venues

  1. The Annals of Probability

    4 publications · 98 citations

    4

    h-index

  2. Advances in Applied Probability

    AAP · 2 publications · 61 citations

    2

    h-index

  3. Stochastics and stochastics reports

    1 publications · 61 citations

    1

    h-index

  4. Mathematical Finance

    1 publications · 83 citations

    1

    h-index

  5. SSRN Electronic Journal

    Repository · 1 publications · 29 citations

    1

    h-index

1–5