Point Process Estimation is a statistical inference method that belongs to the class of point process analysis techniques, specifically concerned with determining the underlying intensity function or conditional intensity model that governs the occurrence of events in a temporal or spatial point process.
138
Publications
8K
Citations
258
Authors
144
Institutions
Publications per year
2017–2026
15
Parents
Publications
138
Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering
Uri T. Eden, Loren M. Frank, Riccardo Barbieri et al. · Neural Computation · 2004 · 366 citations
1–5 of 138
Authors
258
- DS
10
h-index
- KG
8
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- PJ
6
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- YG
5
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- IM
4
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1–5 of 258
Institutions
144
TU Bergakademie Freiberg
Freiberg, Germany
12 h-index
20 publications
1K citations
Stanford University
Stanford, United States
8 h-index
13 publications
541 citations
Johns Hopkins University
Baltimore, United States
5 h-index
7 publications
849 citations
Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
4 h-index
9 publications
850 citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
6 publications
260 citations
Centre National de la Recherche Scientifique
Paris, France
3 h-index
6 publications
194 citations
University of Palermo
Palermo, Italy
3 h-index
5 publications
158 citations
ETH Zurich
Zurich, Switzerland
3 h-index
7 publications
1.3K citations
1–8 of 144
Venues
- Advances in Applied Probability
AAP · 8 publications · 295 citations
8
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- Biometrical Journal
6 publications · 421 citations
6
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- Journal of the Royal Statistical Society Series B (Statistical Methodology)
5 publications · 336 citations
5
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- Journal of the American Statistical Association
4 publications · 238 citations
4
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- Annals of the Institute of Statistical Mathematics
4 publications · 413 citations
4
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