Stable Laws
Stable Laws is a class of probability distributions characterized by the property that the linear combination of two independent random variables with the same distribution follows the same distribution up to location and scale parameters, making them invariant under convolution and forming the attractors in generalized central limit theorems.
202
Publications
10.1K
Citations
257
Authors
182
Institutions
Publications per year
2017–2026
12
Variants
Lévy Stable Distributions
Parents
202
Semi-stable stochastic processes
John Lamperti · Transactions of the American Mathematical Society · 1962 · 514 citations
Quantum Lévy Processes and Fractional Kinetics
Dimitri Kusnezov, Aurel Bulgac, Giu Do Dang · Physical Review Letters · 1999 · 312 citations · Full text
1–5 of 202
257
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Virginia Commonwealth University, United States
5 publications · 851 citations
5
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4
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3
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1–5 of 257
182
Université de Lille
Lille, France
6 h-index
6 publications
251 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
13 publications
1.1K citations
Université de Rennes
Rennes, France
5 h-index
5 publications
260 citations
Virginia Commonwealth University
Richmond, United States
5 h-index
6 publications
865 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
9 publications
338 citations
Institut de recherche mathématique de Rennes
Rennes, France
4 h-index
4 publications
240 citations

University of Toronto
Toronto, Canada
4 h-index
7 publications
377 citations

Australian National University
Canberra, Australia
4 h-index
4 publications
179 citations
1–8 of 182
18 publications · 627 citations
15
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11 publications · 324 citations
10
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EJP · 8 publications · 275 citations
8
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7 publications · 878 citations
7
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JAP · 7 publications · 84 citations
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