Log-Gaussian Cox Processes is a type of point process model in which the intensity function is defined as the exponential of a Gaussian random field, thereby allowing the modeling of clustered point patterns through a latent spatially correlated random environment.
86
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12.9K
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185
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128
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Publications per year
2017–2026
32
Variants
Log-gaussian Cox Process
Publications
86
On cox processes and credit risky securities
David Lando · Review of Derivatives Research · 1998 · 1.3K citations
Spatial Ecology of Bacteria at the Microscale in Soil
Xavier Raynaud, Naoise Nunan · PLoS ONE · 2014 · 414 citations · Full text
1–5 of 86
Authors
185
- HR
8
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- PJ
8
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- JM
7
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- JI
6
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- JM
5
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1–5 of 185
Institutions
128
Norwegian University of Science and Technology
Trondheim, Norway
9 h-index
14 publications
12.4K citations
Aalborg University
Aalborg, Denmark
8 h-index
10 publications
1.2K citations
Lancaster University
Lancaster, United Kingdom
7 h-index
15 publications
1.5K citations
Universitat Jaume I
Castellon, Spain
5 h-index
6 publications
236 citations
University of St Andrews
St Andrews, United Kingdom
5 h-index
8 publications
648 citations
University of Palermo
Palermo, Italy
5 h-index
13 publications
188 citations
Duke University
Durham, United States
3 h-index
5 publications
334 citations
Aarhus University
Aarhus, Denmark
3 h-index
5 publications
930 citations
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Venues
- The Annals of Applied Statistics
AOAS · 9 publications · 538 citations
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- Scandinavian Journal of Statistics
5 publications · 999 citations
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- Statistica Neerlandica
3 publications · 115 citations
3
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- Journal of the American Statistical Association
3 publications · 62 citations
3
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- PLoS ONE
3 publications · 476 citations
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