Spatial Extremes Modeling
Spatial Extremes Modeling is a statistical framework within Bayesian spatial analysis that characterizes the distribution and dependence structure of extreme events across geographic locations, distinguished from other spatial models by its focus on rare, high-impact phenomena and their probabilistic behavior in space.
125
Publications
10.4K
Citations
235
Authors
152
Institutions
Publications per year
2017–2026
43
125
AN OVERVIEW OF COMPOSITE LIKELIHOOD METHODS
Cristiano Varin, Nancy Reid, David Firth · 2011 · 923 citations
Statistical Modeling of Spatial Extremes
A. C. Davison, Simone A. Padoan, Mathieu Ribatet · Statistical Science · 2012 · 586 citations · Full text
1–5 of 125
235
9
h-index
9
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7
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King Abdullah University of Science and Technology, Saudi Arabia
7 publications · 743 citations
7
h-index
6
h-index
1–5 of 235
152
Colorado State University
Fort Collins, United States
12 h-index
15 publications
769 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
12 h-index
23 publications
3.2K citations
Lancaster University
Lancaster, United Kingdom
11 h-index
21 publications
1.1K citations

King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
7 h-index
8 publications
624 citations
North Carolina State University
Raleigh, United States
7 h-index
10 publications
596 citations

Université de Montpellier
Montpellier, France
7 h-index
10 publications
293 citations

NSF National Center for Atmospheric Research
Boulder, United States
6 h-index
11 publications
2.1K citations
Shell (United Kingdom)
London, United Kingdom
6 h-index
6 publications
208 citations
1–8 of 152
13 publications · 410 citations
12
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JABES · 7 publications · 559 citations
7
h-index
7 publications · 326 citations
7
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7 publications · 345 citations
7
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7 publications · 1.2K citations
7
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