Gibbs Point Processes

Gibbs Point Process is a spatial point process defined as a probability measure on configurations of points in a space, where interactions between points are governed by an energy function such that the probability density with respect to a Poisson process is proportional to the exponential of the negative energy.

61

Publications

2.2K

Citations

87

Authors

61

Institutions

Publications per year

2017–2026

9

Variants

Gibbs Point Process

Authors

87

  1. JM
    Jorge Mateu

    Universitat Jaume I, Spain

    5 publications · 126 citations

    5

    h-index

  2. AB
    Adrian Baddeley

    The University of Western Australia, Australia

    4 publications · 191 citations

    4

    h-index

  3. ER
    Ege Rubak

    Aalborg University, Denmark

    3 publications · 332 citations

    3

    h-index

  4. KS
    Kaspar Stucki

    University of Bern, Switzerland

    2 publications · 32 citations

    2

    h-index

  5. DD
    David Dereudre

    Université Polytechnique Hauts-de-France, France

    2 publications · 76 citations

    2

    h-index

1–5 of 87

Venues

  1. Mathematische Nachrichten

    3 publications · 89 citations

    3

    h-index

  2. Advances in Applied Probability

    AAP · 3 publications · 57 citations

    3

    h-index

  3. Bernoulli

    3 publications · 55 citations

    3

    h-index

  4. Biometrical Journal

    2 publications · 41 citations

    2

    h-index

  5. Electronic Journal of Statistics

    2 publications · 65 citations

    2

    h-index

1–5