Identically Distributed Random Variables
Identically Distributed Random Variables is a statistical concept referring to a collection of random variables that share the same probability distribution, thereby differing only in their realization while maintaining identical distributional properties.
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Semi-stable stochastic processes
John Lamperti · Transactions of the American Mathematical Society · 1962 · 514 citations
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Centre National de la Recherche Scientifique
Paris, France
11 h-index
19 publications
699 citations
University of Sheffield
Sheffield, United Kingdom
11 h-index
15 publications
372 citations
Stanford University
Stanford, United States
10 h-index
11 publications
533 citations

Cornell University
Ithaca, United States
9 h-index
12 publications
384 citations

Australian National University
Canberra, Australia
7 h-index
7 publications
232 citations
Université Paris Cité
Paris, France
7 h-index
9 publications
598 citations
University of California, Berkeley
Berkeley, United States
7 h-index
8 publications
612 citations
Université Paris-Sud
Orsay, France
7 h-index
11 publications
517 citations
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JAP · 40 publications · 1.3K citations
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