Point Process Dependence

Point Process Dependence is a theoretical construct in stochastic process theory that characterizes the intrinsic statistical relationships between events in a point process, distinguishing itself by formalizing how the occurrence of points in a given region influences the likelihood of other points beyond complete spatial randomness.

53

Publications

4K

Citations

108

Authors

84

Institutions

Publications per year

2017–2026

9

Authors

108

  1. AB
    Anders Brix

    Risk Management Solutions (United Kingdom), United Kingdom

    3 publications · 247 citations

    3

    h-index

  2. RV
    Rein Vesilo

    Macquarie University, Australia

    2 publications · 58 citations

    2

    h-index

  3. TL
    Thomas Liniger

    Swiss Finance Institute, Switzerland

    2 publications · 419 citations

    2

    h-index

  4. PE
    Paul Embrechts

    ETH Zurich, Switzerland

    2 publications · 419 citations

    2

    h-index

  5. JE
    J. E. Yukich

    Lehigh University, United States

    2 publications · 68 citations

    2

    h-index

1–5 of 108

Venues

  1. Advances in Applied Probability

    AAP · 8 publications · 327 citations

    8

    h-index

  2. 4

    h-index

  3. The Annals of Applied Probability

    3 publications · 75 citations

    3

    h-index

  4. Stochastic Processes and their Applications

    3 publications · 75 citations

    3

    h-index

  5. Journal of Applied Probability

    JAP · 2 publications · 419 citations

    2

    h-index

1–5