Point Process Regression
Point Process Regression is a statistical modeling framework that belongs to the class of point process methods, distinguished by its purpose of estimating the conditional intensity function of event occurrences in continuous space or time as a function of covariates.
26
Publications
1.5K
Citations
93
Authors
58
Institutions
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2017–2026
3
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Point process models for presence‐only analysis
Ian Renner, Jane Elith, Adrian Baddeley et al. · Methods in Ecology and Evolution · 2015 · 456 citations · Full text
Heavy tail modeling and teletraffic data: special invited paper
Sidney I. Resnick · The Annals of Statistics · 1997 · 293 citations · Full text
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NOAA Pacific Marine Environmental Laboratory, United States
1 publications · 22 citations
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University of Ottawa
Ottawa, Canada
2 h-index
2 publications
40 citations
Center for the Neural Basis of Cognition
Pittsburgh, United States
2 h-index
8 publications
152 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
6 publications
114 citations
John Brown University
Siloam Springs, United States
1 h-index
1 publications
42 citations
Tokyo Women's Medical University
Tokyo, Japan
1 h-index
1 publications
30 citations
Cancer Research And Biostatistics
Seattle, United States
1 h-index
3 publications
90 citations
Zimmer Biomet (Netherlands)
Dordrecht, Netherlands
1 h-index
1 publications
30 citations
RIKEN Center for Brain Science
Wako, Japan
1 h-index
1 publications
14 citations
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2 publications · 309 citations
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2 publications · 115 citations
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2 publications · 39 citations
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2 publications · 61 citations
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1 publications · 109 citations
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