Asymptotic Properties
Asymptotic Properties is a theoretical construct in probabilistic roadmap methods that characterizes the convergence behavior of sampling-based motion planning algorithms as the number of samples approaches infinity.
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496.9K
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12.3K
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3.1K
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2017–2026
1.2K
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Robust Estimation of a Location Parameter
Peter J. Huber · The Annals of Mathematical Statistics · 1964 · 7K citations · Full text
A Simple Test for Heteroscedasticity and Random Coefficient Variation
Trevor Breusch, A. R. Pagan · Econometrica · 1979 · 5.4K citations
Web caching and Zipf-like distributions: evidence and implications
Lee Breslau, Pei Cao, Fan Li et al. · 1999 · 3.5K citations
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University of North Carolina at Chapel Hill, United States
20 publications · 725 citations
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Centre National de la Recherche Scientifique
Paris, France
49 h-index
354 publications
16K citations
Stanford University
Stanford, United States
43 h-index
161 publications
20.9K citations
Harvard University
Cambridge, United States
41 h-index
102 publications
16.2K citations
Princeton University
Princeton, United States
41 h-index
108 publications
10.4K citations
Massachusetts Institute of Technology
Cambridge, United States
38 h-index
125 publications
9.9K citations

Cornell University
Ithaca, United States
37 h-index
102 publications
7.7K citations
University of California, Berkeley
Berkeley, United States
37 h-index
137 publications
10.6K citations
Columbia University
New York, United States
35 h-index
102 publications
13.8K citations
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