Reflected Brownian Motion

Reflected Brownian Motion is a continuous-time stochastic process that belongs to the class of diffusion processes and is distinguished by its confinement to a bounded or semi-bounded domain through reflection at the boundaries, typically modeled by the addition of a local time term to a standard Brownian motion.

241

Publications

10.8K

Citations

265

Authors

188

Institutions

Publications per year

2017–2026

26

Variants

Reflected Brownian Motions

Authors

265

  1. RW
    Ruth Williams

    University of California San Diego, United States

    13 publications · 1.3K citations

    13

    h-index

  2. KB
    Krzysztof Burdzy

    University of Washington, United States

    9 publications · 265 citations

    9

    h-index

  3. ZC
    Zhen-Qing Chen

    University of Washington, United States

    9 publications · 273 citations

    9

    h-index

  4. JM
    J. Michael Harrison

    Stanford University, United States

    9 publications · 1.1K citations

    9

    h-index

  5. MI
    Martin I. Reiman

    AT&T (United States), United States

    8 publications · 897 citations

    8

    h-index

1–5 of 265

Venues

  1. The Annals of Probability

    16 publications · 1.6K citations

    14

    h-index

  2. The Annals of Applied Probability

    15 publications · 1K citations

    14

    h-index

  3. Probability Theory and Related Fields

    15 publications · 791 citations

    13

    h-index

  4. Journal of Applied Probability

    JAP · 10 publications · 269 citations

    10

    h-index

  5. Stochastic Processes and their Applications

    10 publications · 228 citations

    10

    h-index

1–5