Non-asymptotic estimation for Bell function, with probabilistic applications
E. Ostrovsky, L. Sirota

TL;DR
This paper develops non-asymptotic bilateral estimates for moment inequalities of sums of non-negative independent random variables, utilizing Bell functions and Poisson distribution properties, with applications in probability theory.
Contribution
It introduces new non-asymptotic bilateral estimates for moment inequalities based on Bell functions and Poisson distribution, advancing probabilistic analysis methods.
Findings
Derived bilateral estimates for moment inequalities
Connected Bell functions with Poisson distribution properties
Enhanced tools for probabilistic inequalities
Abstract
We deduce the non-asymptotical bilateral estimates for moment inequalities for sums of non-negative independent random variables, based on the correspondent estimates for the so-called Bell functions and the Poisson distribution.
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Taxonomy
TopicsRandom Matrices and Applications · Mathematical Analysis and Transform Methods · Mathematical functions and polynomials
