Low bounds for distribution of sums of independent centered random variables belonging to Grand Lebesgue Spaces
M.R.Formica, E.Ostrovsky, L.Sirota

TL;DR
This paper establishes non-asymptotic exponential tail bounds for sums of independent centered random variables within Grand Lebesgue Spaces, providing insights into their distributional behavior.
Contribution
It introduces new non-asymptotic tail bounds for sums of independent centered variables in Grand Lebesgue Spaces, advancing understanding of their distributional limits.
Findings
Derived exponential tail bounds for sums of variables
Applicable to variables in Grand Lebesgue Spaces
Enhances non-asymptotic analysis of random sums
Abstract
We deduce in this short report the non-asymptotic for exponential tail of distribution for sums of independent centered random variables.
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Taxonomy
TopicsProbability and Risk Models · Random Matrices and Applications · Advanced Harmonic Analysis Research
