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Large deviations for some dependent heavy tailed random sequences

  • Qing Yin und Yu Miao EMAIL logo
Veröffentlicht/Copyright: 13. Mai 2024
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Abstract

In this paper, let {Xn, n ≥ 1} be a sequence of random variables with heavy tailed distributions and define Sn = X1 + X2 + ⋯ + Xn, max1kn Sk = max{S1, S2, …, Sn} and Mn = max{X1, X2, …, Xn}. We consider the large deviation behaviors and establish the upper bounds of large deviations for the above three quantities based on some dependent random variables {Xn, n ≥ 1}, such as acceptable random variables, widely acceptable random variables and a class of random variables that satisfies the Marcinkiewicz-Zygmund type inequality and Rosenthal type inequality. Furthermore, the lower bounds of large deviations for some non-negative and identically distributed dependent sequences are obtained.

MSC 2010: 60F10

This work is supported by National Natural Science Foundation of China (NSFC-11971154).




Acknowledgement

The authors are grateful to the three referees for their valuable reports which improved the presentation of this work.

  1. Communicated by Gejza Wimmer

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Received: 2023-01-13
Accepted: 2023-05-09
Published Online: 2024-05-13
Published in Print: 2024-02-26

© 2024 Mathematical Institute Slovak Academy of Sciences

Heruntergeladen am 26.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/ms-2024-0017/pdf
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