Stable Limit Theorems
Stable Limit Theorems is a theoretical framework in probability theory that characterizes the convergence of normalized sums of independent and identically distributed random variables to stable distributions, distinguished from other limit theorems by allowing for heavy-tailed distributions and non-Gaussian limiting behavior.
263
Publications
12.2K
Citations
371
Authors
244
Institutions
Publications per year
2017–2026
17
Parents
263
On Mixing and Stability of Limit Theorems
David Aldous, G. K. Eagleson · The Annals of Probability · 1978 · 345 citations · Full text
1–5 of 263
371
7
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University of California, Santa Barbara, United States
7 publications · 209 citations
7
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5
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4
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3
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1–5 of 371
244

Centre National de la Recherche Scientifique
Paris, France
6 h-index
10 publications
340 citations
Nicolaus Copernicus University
Torun, Poland
6 h-index
8 publications
354 citations
Institute of Mathematics
Warsaw, Poland
5 h-index
6 publications
209 citations
University of California, Santa Barbara
Santa Barbara, United States
5 h-index
7 publications
259 citations
Columbia University
New York, United States
4 h-index
4 publications
195 citations
University of Pavia
Pavia, Italy
4 h-index
7 publications
106 citations

Sorbonne Université
Paris, France
4 h-index
4 publications
172 citations
Institut de recherche mathématique de Rennes
Rennes, France
3 h-index
3 publications
192 citations
1–8 of 244
23 publications · 1.6K citations
17
h-index
12 publications · 411 citations
12
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JAP · 10 publications · 316 citations
10
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9 publications · 171 citations
9
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TRAN · 9 publications · 842 citations
9
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1–5