The Uniform Asymptotics for the Tail of Poisson Shot Noise Process with Dependent and Heavy-Tailed Shocks

被引:0
|
作者
Kaiyong WANG [1 ]
Yang YANG [2 ]
Kam Chuen YUEN [3 ]
机构
[1] School of Mathematical Sciences, Suzhou University of Science and Technology
[2] School of Statistics and Data Science, Nanjing Audit University
[3] Department of Statistics and Actuarial Science, The University of Hong Kong
基金
中国国家社会科学基金;
关键词
D O I
暂无
中图分类号
O211.6 [随机过程];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This paper considers the uniform asymptotic tail behavior of a Poisson shot noise process with some dependent and heavy-tailed shocks. When the shocks are bivariate upper tail asymptotic independent nonnegative random variables with long-tailed and dominatedly varying tailed distributions, and the shot noise function has both positive lower and upper bounds, a uniform asymptotic formula for the tail probability of the process has been established.Furthermore, when the shocks have continuous and consistently varying tailed distributions, the positive lower-bound condition on the shot noise function can be removed. For the case that the shot noise function is not necessarily upper-bounded, a uniform asymptotic result is also obtained when the shocks follow a pairwise negatively quadrant dependence structure.
引用
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页码:335 / 349
页数:15
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