Random Walk Approximation

Random Walk Approximation is a mathematical modeling technique that belongs to the class of stochastic process approximation methods, distinguished by its use of discrete random walk trajectories to approximate the continuous paths of Brownian motion.

177

Publications

9.4K

Citations

289

Authors

198

Institutions

Publications per year

2017–2026

15

Authors

289

  1. GH
    George H. Weiss

    National Institutes of Health, United States

    7 publications · 201 citations

    7

    h-index

  2. DS
    David Siegmund

    Stanford University, United States

    5 publications · 260 citations

    5

    h-index

  3. GJ
    Guy Jumarie

    Université du Québec à Montréal, Canada

    3 publications · 79 citations

    3

    h-index

  4. KS
    K. Shimakawa

    Gifu University, Japan

    3 publications · 145 citations

    3

    h-index

  5. RW
    Ronald W. Butler

    Colorado State University, United States

    2 publications · 109 citations

    2

    h-index

1–5 of 289

Venues

  1. The Annals of Probability

    8 publications · 401 citations

    8

    h-index

  2. Journal of Applied Probability

    JAP · 6 publications · 141 citations

    6

    h-index

  3. Advances in Applied Probability

    AAP · 6 publications · 218 citations

    6

    h-index

  4. Journal of Physics A Mathematical and General

    5 publications · 149 citations

    5

    h-index

  5. The Annals of Applied Probability

    5 publications · 847 citations

    5

    h-index

1–5