Bayesian Cluster Detection
Bayesian Cluster Detection is a probabilistic method for identifying spatially or temporally localized aggregations of events by incorporating prior distributions and updating beliefs through Bayesian inference to distinguish true clusters from random variation.
61
Publications
4.1K
Citations
255
Authors
159
Institutions
Publications per year
2017–2026
9
Parents
61
1–5 of 61
255
5
h-index
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159

Centre National de la Recherche Scientifique
Paris, France
5 h-index
10 publications
188 citations
Instituto de Astrofísica de Andalucía
Granada, Spain
4 h-index
21 publications
477 citations
University of California, Davis
Davis, United States
3 h-index
10 publications
2.2K citations
California Institute of Technology
Pasadena, United States
3 h-index
3 publications
58 citations

University of the Basque Country
Leioa, Spain
3 h-index
5 publications
129 citations
Délégation Paris 7
Bagnolet, France
3 h-index
6 publications
116 citations
Galaxies, Etoiles, Physique et Instrumentation
Meudon, France
3 h-index
6 publications
116 citations
Université Paris Cité
Paris, France
3 h-index
7 publications
132 citations
1–8 of 159
6 publications · 130 citations
6
h-index
3 publications · 400 citations
3
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3 publications · 847 citations
3
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2 publications · 86 citations
2
h-index
2 publications · 96 citations
2
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1–5