首页 | 本学科首页   官方微博 | 高级检索  
     

һ�����ϵ��ڷ�������ɢ���̵�ƽ����
引用本文:����÷. һ�����ϵ��ڷ�������ɢ���̵�ƽ����[J]. 应用概率统计, 2017, 33(1): 32-48
作者姓名:����÷
作者单位:????????????????
摘    要:

关 键 词:???????  ?????????  ?????  

Stationarity of a Class of Markov-Modulated Reflected Jump Diffusion Processes
JIANG ChunMei. Stationarity of a Class of Markov-Modulated Reflected Jump Diffusion Processes[J]. Chinese Journal of Applied Probability and Statisties, 2017, 33(1): 32-48
Authors:JIANG ChunMei
Affiliation:Xi'an Jiaotong University City College
Abstract:In this paper, we extend the previous Markov-modulatedreflected Brownian motion model discussed in [1] to a Markov-modulatedreflected jump diffusion process, where the jump component is described as aMarkov-modulated compound Poisson process. We compute the joint stationarydistribution of the bivariate Markov jump process. An abstract example with twostates is given to illustrate how the stationary equation described as a systemof ordinary integro-differential equations is solved by choosing appropriateboundary conditions. As a special case, we also give the sationary distributionfor this Markov jump process but without Markovian regime-switching.
Keywords:Markov-modulated  reflected jump diffusion  stationary distribution  
点击此处可从《应用概率统计》浏览原始摘要信息
点击此处可从《应用概率统计》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号