Brownian Filtration

Brownian Filtration is a stochastic process filtration defined as the smallest complete right-continuous filtration generated by a Brownian motion, distinguishing itself by embodying the cumulative information available up to each time point in the evolution of the Brownian path.

31

Publications

899

Citations

64

Authors

40

Institutions

Publications per year

2017–2026

0

Variants

Natural Filtration Of Brownian Motion

Authors

64

  1. BT
    Boris Tsirelson

    Tel Aviv University, Israel

    2 publications · 105 citations

    2

    h-index

  2. LC
    L. C. G. Rogers

    University of Cambridge, United Kingdom

    2 publications · 59 citations

    2

    h-index

  3. MJ
    Monique Jeanblanc

    Université d'Évry Val-d'Essonne, France

    1 publications · 17 citations

    1

    h-index

  4. OP
    Oliver Pohl

    Institute for Complex Systems, Italy

    1 publications · 61 citations

    1

    h-index

  5. SK
    Shigeo Kusuoka

    Kyoto University, Japan

    1 publications · 12 citations

    1

    h-index

1–5 of 64

Venues

  1. The Annals of Probability

    3 publications · 105 citations

    3

    h-index

  2. Electronic Communications in Probability

    ECP · 2 publications · 32 citations

    2

    h-index

  3. Chemical Engineering Science

    2 publications · 27 citations

    2

    h-index

  4. The Annals of Applied Probability

    2 publications · 73 citations

    2

    h-index

  5. Geometric and Functional Analysis

    GAFA · 2 publications · 76 citations

    2

    h-index

1–5