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Statistics and Probability Letters (2007) in press
A method to compute the transition function of a piecewise deterministic Markov process with application to reliability
Julien Chiquet ( ) 1, 2, Nikolaos Limnios 1
(2007-12-28)

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.
1:  Laboratoire de Mathématiques Appliquées de Compiègne - EA2222 (LMAC)
Université de Technologie de Compiègne
2:  Laboratoire Statistique et génomes (SG)
CNRS : UMR8071 – Institut national de la recherche agronomique (INRA) – Université d'Evry-Val d'Essonne
Mathematics/Probability

Mathematics/Dynamical Systems