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Approximate Central Limit Theorems

Approximate central limit theorems
Authors: Berckmoes, B.; Molenberghs, Geert;

Approximate Central Limit Theorems

Abstract

We refine the classical Lindeberg-Feller central limit theorem by obtaining asymptotic bounds on the Kolmogorov distance, the Wasserstein distance, and the parametrized Prokhorov distances in terms of a Lindeberg index. We thus obtain more general approximate central limit theorems, which roughly state that the row-wise sums of a triangular array are approximately asymptotically normal if the array approximately satisfies Lindeberg's condition. This allows us to continue to provide information in non-standard settings in which the classical central limit theorem fails to hold. Stein's method plays a key role in the development of this theory.

15 pages

Country
Belgium
Keywords

Wasserstein metric, Statistics & Probability, Wasserstein Metric, 0101 Pure Mathematics, 60F05, FOS: Mathematics, STEINS METHOD, Lindeberg-Feller central limit theorem, Lindeberg index, Science & Technology, Stein's Method, 0104 Statistics, Probability (math.PR), Central limit and other weak theorems, 4905 Statistics, Physical Sciences, 4904 Pure mathematics, Stein's method, Prokhorov metric, Kolmogorov metric; Lindeberg–Feller central limit theorem; Lindeberg index; Prokhorov metric; Stein’s method; Wasserstein metric, Kolmogorov metric, Mathematics, Mathematics - Probability, Kolmogorov metric; Lindeberg-Feller central limit theorem; Lindeberg index; Prokhorov metric; Stein's method; Wasserstein metric

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selected citations
These citations are derived from selected sources.
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!
4
Average
Top 10%
Average
Green
bronze