Spatial-temporal Point Process Modeling

Spatial-Temporal Point Process Modeling is a statistical modeling framework that belongs to the class of point process models and is distinguished by its explicit incorporation of both spatial and temporal dimensions to characterize the intensity and distribution of discrete events occurring over space and time.

64

Publications

6.7K

Citations

141

Authors

95

Institutions

Publications per year

2017–2026

12

Authors

141

  1. FP
    Frederic Paik Schoenberg

    University of California, Los Angeles, United States

    6 publications · 251 citations

    6

    h-index

  2. PJ
    Peter J. Diggle

    Lancaster University, United Kingdom

    5 publications · 541 citations

    5

    h-index

  3. JM
    Jesper Møller

    Aalborg University, Denmark

    4 publications · 231 citations

    4

    h-index

  4. GA
    Giada Adelfio

    University of Palermo, Italy

    3 publications · 53 citations

    3

    h-index

  5. EG
    Edith Gabriel

    Université d'Avignon et des Pays de Vaucluse, France

    3 publications · 256 citations

    3

    h-index

1–5 of 141

Venues

  1. Spatial Statistics

    4 publications · 118 citations

    4

    h-index

  2. The Annals of Applied Statistics

    AOAS · 3 publications · 76 citations

    3

    h-index

  3. Journal of Statistical Planning and Inference

    3 publications · 194 citations

    3

    h-index

  4. Biometrics

    3 publications · 127 citations

    3

    h-index

  5. Scandinavian Journal of Statistics

    2 publications · 160 citations

    2

    h-index

1–5