Subexponentialiy of densities of infinitely divisible distributions

被引:0
|
作者
Matsui, Muneya [1 ]
机构
[1] Nanzan Univ, Nagoya, Japan
来源
关键词
subexponential density; infinite divisibility; L?vy measure; long-tailedness; tail equivalence; asymptotic to a non-increasing function; almost decreasing; CONVOLUTION EQUIVALENCE;
D O I
10.1214/23-EJP928
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We show the equivalence of three properties for an infinitely divisible distribution: the subexponentiality of the density, the subexponentiality of the density of its Levy measure and the tail equivalence between the density and its Levy measure density, under monotonic-type assumptions on the Levy measure density. The key assumption is that tail of the Levy measure density is asymptotic to a non-increasing function or is almost decreasing. Our conditions are natural and cover a rather wide class of infinitely divisible distributions. Several significant properties for analyzing the subexponentiality of densities have been derived such as closure properties of [ convolution, convolution roots and asymptotic equivalence ] and the factorization property. Moreover, we illustrate that the results are applicable for developing the statistical inference of subexponential infinitely divisible distributions which are absolutely continuous.
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页数:30
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