A contribution to large deviations for heavy-tailed random sums

被引:0
|
作者
苏淳
唐启鹤
江涛
机构
基金
中国国家自然科学基金;
关键词
(extended) regular variation; extreme value theory; large deviations; renewal counting process; renewal risk model; subexponential distributions;
D O I
暂无
中图分类号
O211.5 [随机变量];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper we consider the large deviations for random sums S( t) = Xi, t≥0, where {Xn, n≥1} are independent, identically distributed and non-negative random variables with a common heavy-tailed distribution function F, and {N(t), t≥0} is a process of non-negative integer-valued random variables, independent of { Xn, n≥1}. Under the assumption that the tail of F is of Pareto’s type (regularly or extended regularly varying), we investigate what reasonable condition can be given on { N( t), t≥0} under which precise large deviation for S( t) holds. In particular, the condition we obtain is satisfied for renewal counting processes.
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页码:438 / 444
页数:7
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