Error Rates for Large Deviations in the domain of an $α=1$ stable law

Fuente: arXiv
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Autores principales: Imbierski, Jonny, Terhesiu, Dalia
Formato: Preprint
Publicado: 2025
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author Imbierski, Jonny
Terhesiu, Dalia
author_facet Imbierski, Jonny
Terhesiu, Dalia
contents We obtain error rates for large deviations of sums of i.i.d. random variables in, a particular case, of the domain of a non-symmetric infinite mean $α=1$-stable law. The focus of this work is on the method of proof via analytic techniques rather than the particular result.
format Preprint
id arxiv_https___arxiv_org_abs_2506_12443
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Error Rates for Large Deviations in the domain of an $α=1$ stable law
Imbierski, Jonny
Terhesiu, Dalia
Probability
We obtain error rates for large deviations of sums of i.i.d. random variables in, a particular case, of the domain of a non-symmetric infinite mean $α=1$-stable law. The focus of this work is on the method of proof via analytic techniques rather than the particular result.
title Error Rates for Large Deviations in the domain of an $α=1$ stable law
topic Probability
url https://arxiv.org/abs/2506.12443