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Non-asymptotic control of the cumulative distribution function of Lévy processes

Part of: Design of experiments Stochastic processes Distribution theory - Probability

Published online by Cambridge University Press:  15 June 2022

Céline Duval  and
Ester Mariucci Open the ORCID record for Ester Mariucci [Opens in a new window]
Céline Duval*
Affiliation:
Université de Lille, CNRS, UMR 8524—Laboratoire Paul Painlevé
Ester Mariucci*
Affiliation:
Université Paris-Saclay, UVSQ, CNRS, Laboratoire de Mathématiques de Versailles
*
*Postal address: Cité Scientifique—59650 Villeneuve d’Ascq, France. Email address: [email protected]
**Postal address: 45 Av. des États Unis, 78000 Versailles, France. Email address: [email protected]
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Abstract

We propose non-asymptotic controls of the cumulative distribution function $\mathbb{P}(|X_{t}|\ge \varepsilon)$ , for any $t>0$ , $\varepsilon>0$ and any Lévy process X such that its Lévy density is bounded from above by the density of an $\alpha$ -stable-type Lévy process in a neighborhood of the origin.

Keywords

Lévy processessmall jumpsinfinitely divisible distributions

MSC classification

Primary: 60G51: Processes with independent increments; L'evy processes 60E07: Infinitely divisible distributions; stable distributions
Secondary: 62K99: None of the above, but in this section
Type
Original Article
Information
Advances in Applied Probability , Volume 54 , Issue 3 , September 2022 , pp. 913 - 944
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Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Applied Probability Trust

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