Exact exponential tail estimation for sums of independent centered random variables, under natural norming, with applications to the theory of U-statistics

Fuente: arXiv
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Main Authors: Formica, M. R., Ostrovsky, E., Sirota, L.
Format: Preprint
Published: 2024
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author Formica, M. R.
Ostrovsky, E.
Sirota, L.
author_facet Formica, M. R.
Ostrovsky, E.
Sirota, L.
contents We derive in this short report the exact exponential decreasing tail of distribution for naturel normed sums of independent centered random variables (r.v.), applying the theory of Grand Lebesgue Spaces (GLS). We consider also some applications into the theory of U statistics, where we deduce alike for the independent variables the refined exponential tail estimates for ones under natural norming sequence.
format Preprint
id arxiv_https___arxiv_org_abs_2409_05083
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Exact exponential tail estimation for sums of independent centered random variables, under natural norming, with applications to the theory of U-statistics
Formica, M. R.
Ostrovsky, E.
Sirota, L.
Probability
Statistics Theory
We derive in this short report the exact exponential decreasing tail of distribution for naturel normed sums of independent centered random variables (r.v.), applying the theory of Grand Lebesgue Spaces (GLS). We consider also some applications into the theory of U statistics, where we deduce alike for the independent variables the refined exponential tail estimates for ones under natural norming sequence.
title Exact exponential tail estimation for sums of independent centered random variables, under natural norming, with applications to the theory of U-statistics
topic Probability
Statistics Theory
url https://arxiv.org/abs/2409.05083