Inhomogeneous Point Processes is a type of stochastic point process model in which the intensity function varies across space, distinguishing it from homogeneous processes by allowing the expected number of events to depend explicitly on location.
115
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8K
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227
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185
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Publications per year
2017–2026
29
Variants
Non-homogeneous Point Processes
Publications
115
A ‘How to’ guide for interpreting parameters in habitat‐selection analyses
John Fieberg, Johannes Signer, Brian J. Smith et al. · Journal of Animal Ecology · 2021 · 330 citations · Full text
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227
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1–5 of 227
Institutions
185
Aalborg University
Aalborg, Denmark
7 h-index
9 publications
1.8K citations
University of Pisa
Pisa, Italy
6 h-index
18 publications
636 citations
Piaggio (Italy)
Pontedera, Italy
6 h-index
16 publications
574 citations
Harvard University
Cambridge, United States
6 h-index
12 publications
438 citations
Yale University
New Haven, United States
5 h-index
7 publications
316 citations
Centre National de la Recherche Scientifique
Paris, France
4 h-index
5 publications
179 citations
Massachusetts General Hospital
Boston, United States
4 h-index
11 publications
373 citations
Lancaster University
Lancaster, United Kingdom
4 h-index
10 publications
790 citations
1–8 of 185
Venues
- Journal of the American Statistical Association
7 publications · 328 citations
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- Advances in Applied Probability
AAP · 7 publications · 271 citations
7
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- Scandinavian Journal of Statistics
5 publications · 96 citations
5
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- Statistica Neerlandica
4 publications · 879 citations
4
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- Biometrics
4 publications · 297 citations
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