A method to compute the transition function of a piecewise deterministic Markov process with application to reliability

Julien Chiquet, Nikolaos Limnios

Research output: Contribution to journalArticlepeer-review

Abstract

We study the time evolution of an increasing stochastic process governed by a first-order stochastic differential system. This defines a particular piecewise deterministic Markov process (PDMP). We consider a Markov renewal process (MRP) associated to the PDMP and its Markov renewal equation (MRE) which is solved in order to obtain a closed-form solution of the transition function of the PDMP. It is then applied in the framework of survival analysis to evaluate the reliability function of a given system. We give a numerical illustration and we compare this analytical solution with the Monte Carlo estimator.

Original languageEnglish
Pages (from-to)1397-1403
Number of pages7
JournalStatistics and Probability Letters
Volume78
Issue number12
DOIs
Publication statusPublished - 1 Sept 2008
Externally publishedYes

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