Functional Erdős-Rényi laws for Lévy processes

Fuente: arXiv
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Autore principale: Rabenoro, Dimbihery
Natura: Preprint
Pubblicazione: 2017
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author Rabenoro, Dimbihery
author_facet Rabenoro, Dimbihery
contents In this paper we establish functional Erdős-Renyi laws for Lévy processes, i.e. limit theorems for sets of functions on [0,1] associated to their increments. First, we determine precise conditions under which, in a general framework, such a convergence is derived from a large deviations principle for probability measures induced by the sample paths of such a process. Then, by checking that these conditions are fulfilled, we obtain, under two usual assumptions on exponential moments, such limit theorems from well-known large deviations principles.
format Preprint
id arxiv_https___arxiv_org_abs_1704_06521
institution arXiv
publishDate 2017
record_format arxiv
spellingShingle Functional Erdős-Rényi laws for Lévy processes
Rabenoro, Dimbihery
Statistics Theory
60F10, 60F15, 60F17
In this paper we establish functional Erdős-Renyi laws for Lévy processes, i.e. limit theorems for sets of functions on [0,1] associated to their increments. First, we determine precise conditions under which, in a general framework, such a convergence is derived from a large deviations principle for probability measures induced by the sample paths of such a process. Then, by checking that these conditions are fulfilled, we obtain, under two usual assumptions on exponential moments, such limit theorems from well-known large deviations principles.
title Functional Erdős-Rényi laws for Lévy processes
topic Statistics Theory
60F10, 60F15, 60F17
url https://arxiv.org/abs/1704.06521