Gupta Neha, Kumar Arun, Leonenko Nikolai
Department of Mathematics, Indian Institute of Technology Ropar, Rupnagar, Punjab 140001, India.
Cardiff School of Mathematics, Cardiff University, Senghennydd Road, Cardiff CF24 4AG, UK.
Entropy (Basel). 2020 Oct 22;22(11):1193. doi: 10.3390/e22111193.
In this article, we introduce the Skellam process of order and its running average. We also discuss the time-changed Skellam process of order . In particular, we discuss the space-fractional Skellam process and tempered space-fractional Skellam process via time changes in Skellam process by independent stable subordinator and tempered stable subordinator, respectively. We derive the marginal probabilities, Lévy measures, governing difference-differential equations of the introduced processes. Our results generalize the Skellam process and running average of Poisson process in several directions.
在本文中,我们介绍了阶数为 的斯凯拉姆过程及其运行平均值。我们还讨论了阶数为 的时间变换斯凯拉姆过程。特别地,我们分别通过独立稳定从属过程和 tempered稳定从属过程对斯凯拉姆过程进行时间变换,讨论了空间分数阶斯凯拉姆过程和 tempered空间分数阶斯凯拉姆过程。我们推导了所引入过程的边际概率、莱维测度和控制差分 - 微分方程。我们的结果在几个方向上推广了泊松过程的斯凯拉姆过程和运行平均值。