Point Process Simulation

Point Process Simulation is a computational methodology within stochastic process theory that generates realizations of point patterns according to specified probabilistic rules, distinguishing itself by its focus on modeling random spatial or temporal event configurations governed by point process laws.

90

Publications

6.5K

Citations

164

Authors

100

Institutions

Publications per year

2017–2026

7

Authors

164

  1. JM
    Jesper Møller

    Aalborg University, Denmark

    11 publications · 1.2K citations

    10

    h-index

  2. WS
    Wilfrid S. Kendall

    University of Warwick, United Kingdom

    3 publications · 271 citations

    3

    h-index

  3. FP
    Frederic Paik Schoenberg

    University of California, Los Angeles, United States

    3 publications · 300 citations

    3

    h-index

  4. RS
    Radu S. Stoica

    Laboratoire Paul Painlevé, France

    3 publications · 161 citations

    3

    h-index

  5. IF
    Ian Flint

    Nanyang Technological University, Singapore

    2 publications · 57 citations

    2

    h-index

1–5 of 164

Venues

  1. Advances in Applied Probability

    AAP · 10 publications · 478 citations

    10

    h-index

  2. Journal of Applied Probability

    JAP · 4 publications · 127 citations

    4

    h-index

  3. Journal of Geophysical Research Atmospheres

    JGR · 2 publications · 109 citations

    2

    h-index

  4. 2

    h-index

  5. 2

    h-index

1–5