Sample path large deviations for levy processes and random walks with regularly varying increments

Chang Han Rhee, Jose Blanchet, Bert Zwart

Research output: Contribution to journalArticleAcademicpeer-review

13 Citations (Scopus)
43 Downloads (Pure)

Abstract

Let X be a Levy process with regularly varying Levy measure ν. We obtain sample-path large deviations for scaled processes. Xn(t) X(nt)/n and obtain a similar result for random walks with regularly varying increments. Our results yield detailed asymptotic estimates in scenarios where multiple big jumps in the increment are required to make a rare event happen; we illustrate this through detailed conditional limit theorems. In addition, we investigate connections with the classical large deviations framework. In that setting, we show that a weak large deviation principle (with logarithmic speed) holds, but a full large deviation principle does not hold.

Original languageEnglish
Pages (from-to)3551-3605
Number of pages55
JournalThe Annals of Probability
Volume47
Issue number6
DOIs
Publication statusPublished - 2019

Bibliographical note

Funding Information:
Supported by an NWO VICI grant. Supported by NSF Grants DMS-0806145/0902075, CMMI-0846816 and CMMI-1069064. MSC2010 subject classifications. Primary 60F10, 60G17; secondary 60B10.

Publisher Copyright:
© Institute of Mathematical Statistics, 2019.

Keywords

  • Lévy processes
  • M-convergence
  • Regular variation
  • Sample path large deviations

Fingerprint

Dive into the research topics of 'Sample path large deviations for levy processes and random walks with regularly varying increments'. Together they form a unique fingerprint.

Cite this