Donsker's Theorem
Donsker's Theorem is a fundamental result in probability theory that establishes the weak convergence of scaled random walks to Brownian motion in the space of càdlàg functions, thereby providing a functional central limit theorem.
89
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4.4K
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125
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94
Institutions
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2017–2026
7
Variants
Donsker's Invariance Principle
Parents
89
Large Deviations for a General Class of Random Vectors
Richard S. Ellis · The Annals of Probability · 1984 · 403 citations · Full text
A Central Limit Theorem for $k$-Means Clustering
David Pollard · The Annals of Probability · 1982 · 241 citations · Full text
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Centre National de la Recherche Scientifique
Paris, France
4 h-index
4 publications
483 citations

University of Oslo
Oslo, Norway
3 h-index
3 publications
75 citations

Télécom Paris
Palaiseau, France
2 h-index
2 publications
49 citations
University of Washington
Seattle, United States
2 h-index
3 publications
109 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
2 publications
93 citations
The University of Osaka
Osaka, Japan
2 h-index
2 publications
57 citations

Sorbonne Université
Paris, France
2 h-index
2 publications
36 citations
Laboratoire Traitement et Communication de l’Information
Palaiseau, France
2 h-index
2 publications
49 citations
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21 publications · 1.5K citations
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4 publications · 344 citations
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3 publications · 448 citations
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3 publications · 92 citations
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