Multidimensional Brownian Motion

Multidimensional Brownian Motion is a stochastic process in probability theory that generalizes one-dimensional Brownian motion by consisting of a vector of independent standard Brownian motions evolving simultaneously across multiple spatial dimensions.

165

Publications

9.7K

Citations

247

Authors

171

Institutions

Publications per year

2017–2026

23

Variants

Multi-dimensional Brownian Motion

Authors

247

  1. KB
    Krzysztof Burdzy

    University of Washington, United States

    7 publications · 154 citations

    7

    h-index

  2. EP
    Edwin Perkins

    University of British Columbia, Canada

    3 publications · 146 citations

    3

    h-index

  3. JL
    Jean‐François Le Gall

    Université Paris-Sud, France

    3 publications · 178 citations

    3

    h-index

  4. MS
    Mykhaylo Shkolnikov

    Princeton University, United States

    3 publications · 65 citations

    3

    h-index

  5. JM
    J. Michael Harrison

    Stanford University, United States

    3 publications · 334 citations

    3

    h-index

1–5 of 247

Venues

  1. The Annals of Probability

    20 publications · 1.1K citations

    16

    h-index

  2. Probability Theory and Related Fields

    7 publications · 175 citations

    7

    h-index

  3. The Annals of Applied Probability

    7 publications · 229 citations

    7

    h-index

  4. Transactions of the American Mathematical Society

    TRAN · 6 publications · 372 citations

    6

    h-index

  5. Journal of Applied Probability

    JAP · 6 publications · 286 citations

    6

    h-index

1–5