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Elementary renewal theorems for widely dependent random variables with applications to precise large deviations

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  • Yuebao Wang
  • Dongya Cheng

Abstract

On the basis of Wang and Cheng (J. Math. Anal. Appl. 384 (2011) 597–606), this paper further investigates elementary renewal theorems for counting processes generated by random walks with widely orthant dependent increments. The obtained results improve the corresponding ones of the above-mentioned paper mainly in the sense of weakening the moment conditions on the positive parts of the increments. Meanwhile, a revised version of strong law of large numbers for random walks with widely orthant dependent increments is established, which improves Theorem 1.4 of Wang and Cheng (2011) by enlarging the regions of dominating coefficients. Finally, by using the above results, some precise large deviation results for a nonstandard renewal risk model are established, in which the innovations are widely orthant dependent random variables with common heavy tails, and the inter-arrival times are also widely orthant dependent.

Suggested Citation

  • Yuebao Wang & Dongya Cheng, 2020. "Elementary renewal theorems for widely dependent random variables with applications to precise large deviations," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 49(14), pages 3352-3374, July.
    • Handle: RePEc:taf:lstaxx:v:49:y:2020:i:14:p:3352-3374
    DOI: 10.1080/03610926.2019.1586947
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