Probabilistic approach in weighted Markov branching processes

被引:1
|
作者
Chen, Anyue [1 ,2 ]
Li, Junping [3 ]
Ramesh, N. I. [4 ]
机构
[1] Univ Liverpool, Dept Math Sci, Liverpool L69 7ZL, Merseyside, England
[2] Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R China
[3] Cent S Univ, Sch Math Sci & Comp Technol, Changsha, Hunan, Peoples R China
[4] Univ Greenwich, Sch Comp & Math Sci, London SE10 9LS, England
关键词
compound Poisson process; hitting times; Markov branching process; random time change; uniqueness; weighted Markov branching process;
D O I
10.1016/j.spl.2007.09.043
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This note provides a new probabilistic approach in discussing the weighted Markov branching process (WMBP) which is a natural generalisation of the ordinary Markov branching process. Using this approach, some important characteristics regarding the hitting times of such processes can be easily obtained. In particular, the closed forms for the mean extinction time and conditional mean extinction time are presented. The explosion behaviour of the process is investigated and the mean explosion time is derived. The mean global holding time and the mean total survival time are also obtained. The close link between these newly developed processes and the well-known compound Poisson processes is investigated. It is revealed that any weighted Markov branching process (WMBP) is a random time change of a compound Poisson process. (c) 2007 Published by Elsevier B.V.
引用
收藏
页码:771 / 779
页数:9
相关论文
共 50 条