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Subexponential distributions - Large deviations with applications to insurance and queueing models

  • Vilnius University

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

This paper presents a fine large-deviations theory for heavy-tailed distributions whose tails are heavier than exp(-√t) and have finite second moment. Asymptotics for first passage times are derived. The results are applied to estimate the finite time ruin probabilities in insurance as well as the busy period in a GI/G/1 queueing model.

Original languageEnglish
Pages (from-to)145-154
Number of pages10
JournalAustralian and New Zealand Journal of Statistics
Volume46
Issue number1
DOIs
StatePublished - Mar 2004

Keywords

  • Baxter-Spitzer identity
  • Busy period
  • Finite time ruin probability
  • First passage times
  • Insurance
  • Large deviations
  • Queueing theory
  • Subexponential distributions
  • Transient random walk

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