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Proceedings of the Royal Society of Edinburgh Section A Mathematics
Article . 2021 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2020
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Large deviations for a class of tempered subordinators and their inverse processes

Authors: Leonenko N; Macci C; Pacchiarotti B;

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

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.

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Italy
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Keywords

non-central moderate deviations, Mittag-Leffler function, 330, 60F10, 60G52, 60J25, Mittag–Leffler function; non-central moderate deviations; random time-changes; Tweedie distribution, Probability (math.PR), Settore MAT/06 - PROBABILITA' E STATISTICA MATEMATICA, 510, Tweedie distribution, non-central moderate deviation, Settore MATH-03/B - Probabilità e statistica matematica, Large deviations, Stable stochastic processes, random time-changes, FOS: Mathematics, random time-change, Continuous-time Markov processes on general state spaces, Mittag–Leffler function, Mathematics - Probability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
Green
bronze