Functional Central Limit Theorems
Functional Central Limit Theorems is a theoretical framework in probability theory that characterizes the weak convergence of rescaled random walks to a continuous Gaussian process, specifically Brownian motion, in the space of cadlag functions endowed with the Skorokhod topology.
423
Publications
30.1K
Citations
538
Authors
374
Institutions
Publications per year
2017–2026
45
423
Time Series Regression with a Unit Root
P. C. B. Phillips · Econometrica · 1987 · 2.9K citations
Long-Term Memory in Stock Market Prices
Andrew W. Lo · Econometrica · 1991 · 1.7K citations · Full text
Social Sciences, Economics, Finance +17
Asymptotic Theory for Econometricians.
Peter M. Robinson, Hannah J. White · Economica · 1988 · 1.4K citations
Quantum Brownian motion: The functional integral approach
Hermann Grabert, Peter Schramm, Gert‐Ludwig Ingold · Physics Reports · 1988 · 1.1K citations
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374

Centre National de la Recherche Scientifique
Paris, France
14 h-index
23 publications
951 citations
Université Paris Cité
Paris, France
10 h-index
12 publications
868 citations

Sorbonne Université
Paris, France
9 h-index
15 publications
975 citations

University of Cincinnati
Cincinnati, United States
9 h-index
10 publications
345 citations
Stanford University
Stanford, United States
9 h-index
11 publications
1.2K citations
University of Cambridge
Cambridge, United Kingdom
7 h-index
7 publications
275 citations

University of British Columbia
Vancouver, Canada
7 h-index
9 publications
386 citations

Pennsylvania State University
State College, United States
6 h-index
11 publications
171 citations
1–8 of 374
46 publications · 3.7K citations
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AAP · 26 publications · 1.1K citations
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17 publications · 887 citations
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22 publications · 863 citations
14
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12 publications · 510 citations
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