Spatio-temporal Point Processes

Spatio-Temporal Point Processes is a stochastic process that models the occurrence of discrete events in continuous space and time, distinguished by its ability to characterize the intensity and dependence structure of events across both spatial locations and temporal intervals.

99

Publications

5.2K

Citations

254

Authors

150

Institutions

Publications per year

2017–2026

45

Authors

254

  1. MG
    Manuel Gomez-Rodriguez

    Max Planck Institute for Software Systems, Germany

    7 publications · 955 citations

    7

    h-index

  2. PJ
    Peter J. Diggle

    Lancaster University, United Kingdom

    7 publications · 875 citations

    7

    h-index

  3. JM
    Jorge Mateu

    Universitat Jaume I, Spain

    5 publications · 100 citations

    5

    h-index

  4. MG
    Mohammad Ghorbani

    Aalborg University, Denmark

    4 publications · 116 citations

    4

    h-index

  5. GF
    Giancarlo Fortino

    University of Calabria, Italy

    3 publications · 64 citations

    3

    h-index

1–5 of 254

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 282 citations

    9

    h-index

  2. The Annals of Applied Statistics

    AOAS · 4 publications · 274 citations

    4

    h-index

  3. Biometrics

    3 publications · 159 citations

    3

    h-index

  4. 3

    h-index

  5. 2

    h-index

1–5