Large deviations for a class of tempered subordinators and their inverse processes

Author:

Leonenko Nikolai,Macci Claudio,Pacchiarotti Barbara

Abstract

We consider a class of tempered subordinators, namely a class of subordinators with one-dimensional marginal tempered distributions which belong to a family studied in [3]. The main contribution in this paper is a non-central moderate deviations result. More precisely we mean a class of large deviation principles that fill the gap between the (trivial) weak convergence of some non-Gaussian identically distributed random variables to their common law, and the convergence of some other related random variables to a constant. Some other minor results concern large deviations for the inverse of the tempered subordinators considered in this paper; actually, in some results, these inverse processes appear as random time-changes of other independent processes.

Publisher

Cambridge University Press (CUP)

Subject

General Mathematics

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Asymptotic results for sums and extremes;Journal of Applied Probability;2024-03-13

2. Some examples of noncentral moderate deviations for sequences of real random variables;Modern Stochastics: Theory and Applications;2023

3. Non-central moderate deviations for compound fractional Poisson processes;Statistics & Probability Letters;2022-06

4. Tempered positive Linnik processes and their representations;Electronic Journal of Statistics;2022-01-01

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