Brownian Meander

Brownian Meander is a stochastic process derived from Brownian motion by conditioning on the positivity of the path over a fixed time interval, thereby representing the scaled evolution of the portion of a Brownian trajectory that remains strictly above zero.

34

Publications

1.4K

Citations

45

Authors

37

Institutions

Publications per year

2017–2026

3

Authors

45

  1. JP
    Jim Pitman

    University of California, Berkeley, United States

    3 publications · 110 citations

    3

    h-index

  2. VW
    Vitali Wachtel

    University of Augsburg, Germany

    2 publications · 41 citations

    2

    h-index

  3. LT
    Lajos Takács

    Case Western Reserve University, United States

    2 publications · 60 citations

    2

    h-index

  4. DL
    Donald L. Iglehart

    Stanford University, United States

    2 publications · 268 citations

    2

    h-index

  5. SG
    S. G. Mohanty

    McMaster University, Canada

    2 publications · 44 citations

    2

    h-index

1–5 of 45

Venues

  1. Journal of Applied Probability

    JAP · 4 publications · 220 citations

    4

    h-index

  2. The Annals of Probability

    3 publications · 293 citations

    3

    h-index

  3. Electronic Journal of Probability

    EJP · 2 publications · 115 citations

    2

    h-index

  4. Theory of Probability and Its Applications

    2 publications · 32 citations

    2

    h-index

  5. Canadian Journal of Statistics

    CJS · 2 publications · 44 citations

    2

    h-index

1–5