Point Process Characterization

Point Process Characterization is a formal methodology in the theory of stochastic processes that specifies the mathematical properties and distributional features uniquely defining a point process, distinguishing it by its focus on deriving complete probabilistic descriptions such as intensity measures, moment measures, or Laplace functionals.

114

Publications

5.9K

Citations

216

Authors

142

Institutions

Publications per year

2017–2026

21

Authors

216

  1. UT
    Uri T. Eden

    Boston University, United States

    4 publications · 119 citations

    4

    h-index

  2. EM
    Ely Merzbach

    Bar-Ilan University, Israel

    4 publications · 90 citations

    4

    h-index

  3. GN
    Gopalan Nair

    The University of Western Australia, Australia

    3 publications · 83 citations

    3

    h-index

  4. DR
    David R. Brillinger

    University of California, Berkeley, United States

    3 publications · 81 citations

    3

    h-index

  5. EN
    Emery N. Brown

    Massachusetts General Hospital, United States

    3 publications · 119 citations

    3

    h-index

1–5 of 216

Venues

  1. Advances in Applied Probability

    AAP · 10 publications · 858 citations

    10

    h-index

  2. Journal of Applied Probability

    JAP · 8 publications · 278 citations

    8

    h-index

  3. The Annals of Probability

    6 publications · 399 citations

    6

    h-index

  4. Water Resources Research

    6 publications · 845 citations

    6

    h-index

  5. IEEE Transactions on Biomedical Engineering

    4 publications · 134 citations

    4

    h-index

1–5