Max-stable Distributions
Max-Stable Distributions is a class of probability distributions in extreme value theory that are invariant under the operation of taking componentwise maxima, distinguished by their property that the maximum of a sample of independent and identically distributed random vectors, after appropriate linear normalization, follows the same distribution.
90
Publications
6.2K
Citations
126
Authors
99
Institutions
Publications per year
2017–2026
15
Variants
Max-stable Distribution
Parents
90
Statistical Modeling of Spatial Extremes
A. C. Davison, Simone A. Padoan, Mathieu Ribatet · Statistical Science · 2012 · 586 citations · Full text
Extreme Value Theory: An Introduction
George Michailidis, Stilian Stoev · Technometrics · 2007 · 532 citations
1–5 of 90
126
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King Abdullah University of Science and Technology, Saudi Arabia
6 publications · 298 citations
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5
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99
University of Lausanne
Lausanne, Switzerland
7 h-index
7 publications
252 citations
University of Mannheim
Mannheim, Germany
6 h-index
9 publications
501 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
5 h-index
8 publications
1.8K citations
University of Michigan
Ann Arbor, United States
5 h-index
8 publications
1.3K citations

King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
4 h-index
6 publications
144 citations
Lancaster University
Lancaster, United Kingdom
4 h-index
6 publications
646 citations
University of Wisconsin–Madison
Madison, United States
4 h-index
7 publications
182 citations
Institut Montpelliérain Alexander Grothendieck
Montpellier, France
4 h-index
5 publications
945 citations
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6 publications · 227 citations
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6 publications · 449 citations
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5 publications · 334 citations
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3 publications · 562 citations
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Repository · 3 publications · 111 citations
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