Random Walk Maxima

Random Walk Maxima is a stochastic process statistic that captures the highest value attained by a random walk over a given sequence of steps, distinguishing it from other path-dependent functionals by focusing exclusively on the supremum of the trajectory.

59

Publications

1.9K

Citations

75

Authors

59

Institutions

Publications per year

2017–2026

8

Authors

75

  1. SN
    Satya N. Majumdar

    Centre National de la Recherche Scientifique, France

    5 publications · 183 citations

    5

    h-index

  2. SA
    Søren Asmussen

    Aarhus University, Denmark

    4 publications · 278 citations

    4

    h-index

  3. GS
    Grégory Schehr

    Centre National de la Recherche Scientifique, France

    3 publications · 87 citations

    3

    h-index

  4. NG
    Nina Gantert

    Technical University of Munich, Germany

    3 publications · 84 citations

    3

    h-index

  5. RA
    R. A. Doney

    University of Manchester, United Kingdom

    3 publications · 82 citations

    3

    h-index

1–5 of 75

Venues

  1. Journal of Applied Probability

    JAP · 9 publications · 140 citations

    9

    h-index

  2. Advances in Applied Probability

    AAP · 5 publications · 222 citations

    5

    h-index

  3. Theory of Probability and Its Applications

    4 publications · 95 citations

    4

    h-index

  4. Stochastic Processes and their Applications

    3 publications · 143 citations

    3

    h-index

  5. The Annals of Probability

    3 publications · 192 citations

    3

    h-index

1–5