Continuous Mapping Theorem
The Continuous Mapping Theorem is a fundamental result in probability theory stating that convergence in distribution of a sequence of random variables is preserved under continuous measurable mappings, provided the limit variables almost surely lie in the continuity set of the mapping.
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Variants
Mann-wald Theorem
Parents
94
Convergence of Stochastic Processes.
Peter M. Robinson, David Pollard · Economica · 1985 · 2.3K citations
Kim Jeankyung, David Pollard · The Annals of Statistics · 1990 · 641 citations
Change-Points in Nonparametric Regression Analysis
Hans‐Georg Müller · The Annals of Statistics · 1992 · 369 citations
Computing, Hydrology, Econometrics +16
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Beijing University of Technology
Beijing, China
4 h-index
14 publications
269 citations
Columbia University
New York, United States
4 h-index
7 publications
580 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
2 publications
446 citations
Yale University
New Haven, United States
2 h-index
2 publications
2.3K citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
2 publications
52 citations

Moscow Power Engineering Institute
Moscow, Russia
1 h-index
2 publications
40 citations
Science and Technology Department of Sichuan Province
Chengdu, China
1 h-index
1 publications
12 citations
Sichuan University of Science and Engineering
Zigong, China
1 h-index
2 publications
24 citations
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PROC · 12 publications · 334 citations
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JAP · 3 publications · 95 citations
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