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Precise Large Deviations for Long-Tailed Distributions

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  • Fotis Loukissas

    (University of the Aegean)

Abstract

In this paper, we investigate the precise large deviations for sums of independent identically distributed random variables with heavy-tailed distributions. We prove asymptotic relations for non-random sums and for random sums of random variables with long-tailed distributions. We apply the results on two useful counting processes, namely, renewal and compound-renewal processes.

Suggested Citation

  • Fotis Loukissas, 2012. "Precise Large Deviations for Long-Tailed Distributions," Journal of Theoretical Probability, Springer, vol. 25(4), pages 913-924, December.
    • Handle: RePEc:spr:jotpro:v:25:y:2012:i:4:d:10.1007_s10959-011-0367-2
    DOI: 10.1007/s10959-011-0367-2
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    References listed on IDEAS

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    1. Cline, D. B. H. & Samorodnitsky, G., 1994. "Subexponentiality of the product of independent random variables," Stochastic Processes and their Applications, Elsevier, vol. 49(1), pages 75-98, January.
    2. Kaas, Rob & Tang, Qihe, 2005. "A large deviation result for aggregate claims with dependent claim occurrences," Insurance: Mathematics and Economics, Elsevier, vol. 36(3), pages 251-259, June.
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