Repulsive Point Processes
Repulsive Point Processes is a class of stochastic point process models in spatial statistics that generate patterns characterized by inhibition or dispersion, where the occurrence of a point reduces the likelihood of nearby points, thereby distinguishing it from random or clustered processes.
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86
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2017–2026
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The coincidence approach to stochastic point processes
Odile Macchi · Advances in Applied Probability · 1975 · 590 citations
Engineering, Mathematics, Physics +13
Learning Determinantal Point Processes
Alex Kulesza, Ben Taskar · Scholarly Commons (University of Pennsylvania) · 2012 · 108 citations · Full text
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Centre National de la Recherche Scientifique
Paris, France
5 h-index
8 publications
208 citations
Aalborg University
Aalborg, Denmark
4 h-index
7 publications
607 citations
Université de Lille
Lille, France
3 h-index
6 publications
176 citations
Laboratoire de Mathématiques Jean Leray
Nantes, France
3 h-index
3 publications
310 citations
Duke University
Durham, United States
3 h-index
6 publications
122 citations
Centre Inria de l'Université de Rennes
Rennes, France
3 h-index
3 publications
87 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
5 publications
467 citations
The University of Texas at Austin
Austin, United States
3 h-index
8 publications
426 citations
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Repository · 6 publications · 106 citations
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AAP · 5 publications · 722 citations
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3 publications · 143 citations
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2 publications · 95 citations
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Conference · 2 publications · 54 citations
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