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首页> 外文期刊>Journal of theoretical probability >Inversions of Infinitely Divisible Distributions and Conjugates of Stochastic Integral Mappings
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Inversions of Infinitely Divisible Distributions and Conjugates of Stochastic Integral Mappings

机译:无限积分分布和共轭随机映射的共轭反演。

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The dual of an infinitely divisible distribution on ?~d without Gaussian part defined in Sato (ALEA Lat. Am. J. Probab. Math. Statist. 3:67-110, 2007) is renamed to the inversion. Properties and characterization of the inversion are given. A stochastic integral mapping is a mapping μ=Φ _f ρ of ρ to μ in the class of infinitely divisible distributions on ?~d, where μ is the distribution of an improper stochastic integral of a nonrandom function f with respect to a Lévy process on ?~d with distribution ρ at time 1. The concept of the conjugate is introduced for a class of stochastic integral mappings and its close connection with the inversion is shown. The domains and ranges of the conjugates of three two-parameter families of stochastic integral mappings are described. Applications to the study of the limits of the ranges of iterations of stochastic integral mappings are made.
机译:没有在Sato中定义的高斯部分的?〜d上的无限可分分布的对偶(ALEA Lat。Am。J. Probab。Math。Statist。3:67-110,2007)被重命名为反演。给出了反演的性质和特征。随机积分映射是?〜d上无限可分分布类中ρ到μ的μ=Φ_fρ映射,其中μ是非随机函数f相对于Lévy过程的不适当随机积分的分布。在时间为1时具有分布ρ的φ〜d引入了共轭的概念,用于一类随机积分映射,并显示了其与反演的紧密联系。描述了三个随机积分映射的两个参数族的共轭的域和范围。应用于研究随机积分映射的迭代范围的极限。

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