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Electronic Journal of Probability
Article . 2020 . Peer-reviewed
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Electronic Journal of Probability
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Electronic Journal of Probability
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https://dx.doi.org/10.48550/ar...
Article . 2019
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Stein’s method via induction

Authors: Chen, L.H.Y.; Goldstein, L.; Röllin, A.;

Stein’s method via induction

Abstract

Applying an inductive technique for Stein and zero bias couplings yields Berry-Esseen theorems for normal approximation for two new examples. The conditions of the main results do not require that the couplings be bounded. Our two applications, one to the Erd��s-R��nyi, random graph with a fixed number of edges, and one to Jack measure on tableaux, demonstrate that the method can handle non-bounded variables with non-trivial global dependence, and can produce bounds in the Kolmogorov metric with the optimal rate.

59 pages

Keywords

optimal rates, Erdős-Rényi random graph, Erd?s-Rényi random graph, 05C80, Probability (math.PR), 60F05 (Primary), 05C07, 05C80, 05E10 (secondary), Optimal rates, Stein’s method, Jack measure, 60F05, 05C07, FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), Kolmogorov distance, 05E10, Mathematics - Probability

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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gold