VERSATILE MARKOVIAN POINT PROCESS

被引:525
作者
NEUTS, MF
机构
关键词
D O I
10.2307/3213143
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
A versatile class of point processes on the real line, which are closely related to finite-state Markov processes, is introduced. Many relevant probability distributions, moment and correlation formulas are given in forms which are computationally tractable. Several point processes, such as renewal processes of phase type, Markov-modulated Poisson processes and certain semi-Markov point processes appear as particular cases. The treatment of a substantial number of existing probability models can be generalized in a systematic manner to arrival processes of the type discussed. Several qualitative features of point processes can be modeled in a way which remains computationally tractable.
引用
收藏
页码:764 / 779
页数:16
相关论文
共 19 条