Asymptotics for densities of exponential functionals of subordinators

IF 1.5 2区 数学 Q2 STATISTICS & PROBABILITY
Bernoulli Pub Date : 2021-04-12 DOI:10.3150/23-bej1584
Martin Minchev, Mladen Savov
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引用次数: 11

Abstract

In this paper we derive non-classical Tauberian asymptotic at infinity for the tail, the density and the derivatives thereof of a large class of exponential functionals of subordinators. More precisely, we consider the case when the L\'evy measure of the subordinator satisfies the well-known and mild condition of positive increase. This is achieved via a convoluted application of the saddle point method to the Mellin transform of these exponential functionals which is given in terms of Bernstein-gamma functions. To apply the saddle point method we improved the Stirling type of asymptotic for Bernstein-gamma functions and the latter is of interest beyond this paper as the Bernstein-gamma functions are applicable in different settings especially through their asymptotic behaviour in the complex plane. As an application we have derived the asymptotic of the density and its derivatives for all exponential functionals of non-decreasing, potentially compound Poisson processes which turns out to be precisely as that of an exponentially distributed random variable. We show further that a large class of densities are even analytic in a cone of the complex plane.
次子指数泛函密度的渐近性
本文导出了一大类指数次函数的尾、密度及其导数在无穷远处的非经典Tauberian渐近性。更准确地说,我们考虑了当从属项的L’evy测度满足已知且温和的正增长条件时的情况。这是通过鞍点方法对这些指数泛函的Mellin变换的卷积应用来实现的,Mellin变换是根据Bernstein伽玛函数给出的。为了应用鞍点方法,我们改进了Bernstein gamma函数的Stirling型渐近性,后者在本文之外很有意义,因为Bernstein gamm函数适用于不同的设置,特别是通过它们在复平面中的渐近行为。作为一个应用,我们导出了非递减的潜在复合泊松过程的所有指数泛函的密度及其导数的渐近性,结果证明它恰好是指数分布随机变量的密度及其衍生物。我们进一步证明,在复平面的圆锥中,一大类密度甚至是解析的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Bernoulli
Bernoulli 数学-统计学与概率论
CiteScore
3.40
自引率
0.00%
发文量
116
审稿时长
6-12 weeks
期刊介绍: BERNOULLI is the journal of the Bernoulli Society for Mathematical Statistics and Probability, issued four times per year. The journal provides a comprehensive account of important developments in the fields of statistics and probability, offering an international forum for both theoretical and applied work. BERNOULLI will publish: Papers containing original and significant research contributions: with background, mathematical derivation and discussion of the results in suitable detail and, where appropriate, with discussion of interesting applications in relation to the methodology proposed. Papers of the following two types will also be considered for publication, provided they are judged to enhance the dissemination of research: Review papers which provide an integrated critical survey of some area of probability and statistics and discuss important recent developments. Scholarly written papers on some historical significant aspect of statistics and probability.
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