Simulations of Some Doubly Stochastic Poisson Point Processes

被引:0
|
作者
Picinbono, B. [1 ,2 ]
机构
[1] Ecole Super Elect Suplec, Lab Signaux & Syst Supelec, Ctr Natl Rech Sci CNRS, Unite Mixte Rech UMR 8506, Gif Sur Yvette, France
[2] Univ Paris Sud 11 UPS, Gif Sur Yvette, France
关键词
Counting; Lifetime; Point processes; ALGORITHMS;
D O I
10.1080/03610918.2012.742107
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
Computer simulations of point processes are important either to verify the results of certain theoretical calculations that can be very awkward at times or to obtain practical results when these calculations become almost impossible. One of the most common methods for the simulation of nonstationary Poisson processes is random thinning. Its extension when the intensity becomes random (doubly stochastic Poisson processes) depends on the structure of this intensity. If the random density takes only discrete values, which is a common situation in many physical problems where quantum mechanics introduces discrete states, it is shown that the thinning method can be applied without error. We study in particular the case of binary density and present the kind of theoretical calculations that then become possible. The results of various experiments realized with data obtained by simulation show a fairly good agreement with the theoretical calculations.
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页码:1700 / 1713
页数:14
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