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arXiv 2408.01237math.PR
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无穷可分随机变量的协方差恒等式与方差界及其应用

Covariance Identities and Variance Bounds for Infinitely Divisible Random Variables and Their Applications

Kalyan Barman, Neelesh S Upadhye, Palaniappan Vellaisamy

AI总结:

本文为无穷可分分布建立一般协方差恒等式,并由此推导 Cacoullos 型方差界、涉及 Lévy 测度的 Stein 型恒等式,进而应用于 CGMY 分布、方差伽马分布以及加权保费计算原则和基尼系数公式。

摘要:

在本文中,我们为无穷可分分布(IDD)建立了一个一般的协方差恒等式。利用这一结果,我们推导出无穷可分分布的 Cacoullos 型方差界。除了计算某些后验分布的方差界之外,我们还讨论了对一些重要分布的应用。作为另一项应用,我们推导出无穷可分分布的 Stein 型恒等式,其中涉及 Lévy 测度。该结果随后被用于推导 CGMY 分布和方差伽马分布(VGD)的 Stein 型恒等式。与文献中已有的方法相比,这一方法尤其是对于 VGD 而言是新的且更简单。最后,作为另一项非平凡的应用,我们将协方差恒等式应用于推导无穷可分分布的加权保费计算原则(WPCP)和基尼系数的已知公式以及一些新公式。

英文摘要:

In this article, we establish a general covariance identity for infinitely divisible distributions (IDD). Using this result, we derive Cacoullos type variance bounds for the IDD. Applications to some important distributions are discussed, in addition to the computation of variance bounds for certain posterior distributions. As another application, we derive the Stein-type identity for the IDD, which involves the L'evy measure. This result in turn is used to derive the Stein-type identity for the CGMY distributions and the variance-gamma distributions (VGD). This approach, especially for the VGD is new and simpler, compared to the ones available in the literature. Finally, as another nontrivial application, we apply the covariance identity in deriving known and some new formulas for the weighted premium calculation principles (WPCP) and Gini coefficient for the IDD.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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