Selective interaction of two independent recurrent processes

Author:

Hoopen M. Ten,Reuver H. A.

Abstract

SummaryConsidered are two mutually independent recurrent processes each consisting of a time series of unitary stimuli. The durations of the intervals between the stimuli in each series are independent of each other and identically distributed with probability density functionsφ(t) andψ(t). Every stimulus of theψ(t) process annihilates the next stimulus of theφ(t) process. The probability density function of the intervals of the transformedφ(t) process is derived for the case where either theφ(t) or theψ(t) process is Poisson.

Publisher

Cambridge University Press (CUP)

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Regenerative multivariate point processes;Advances in Applied Probability;1978-06

2. Models of the Stochastic Activity of Neural Aggregates;Lecture Notes in Biomathematics;1976

3. Shot noise generated by a semi-Markov process;Journal of Applied Probability;1973-09

4. Shot noise generated by a semi-Markov process;Journal of Applied Probability;1973-09

5. Limit theorems for thinning of renewal point processes;Journal of Applied Probability;1972-12

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