Conditional Weak Convergence
Conditional Weak Convergence is a mode of stochastic convergence in probability theory where a sequence of random variables converges weakly to a limiting random variable given the sigma-algebra generated by a conditioning variable, thereby generalizing standard weak convergence by incorporating dependence on additional information.
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9K
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264
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179
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2017–2026
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Université de Technologie de Compiègne
Compiègne, France
7 h-index
13 publications
296 citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
5 publications
167 citations
University of Washington
Seattle, United States
4 h-index
5 publications
184 citations
Stanford University
Stanford, United States
4 h-index
4 publications
98 citations
Ruhr University Bochum
Bochum, Germany
4 h-index
5 publications
241 citations
Laboratoire de Mathématiques Blaise Pascal
Aubière, France
3 h-index
5 publications
73 citations
Brown University
Providence, United States
3 h-index
4 publications
87 citations

University of Warwick
Coventry, United Kingdom
3 h-index
3 publications
95 citations
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13 publications · 923 citations
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10 publications · 718 citations
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JAP · 5 publications · 181 citations
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