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Estimation de l'État d'une file d'attente et du temps de panne d'une machine par la méthode de semi-martingales

Published online by Cambridge University Press:  01 July 2016

P. Brémaud*
Affiliation:
CEREMADE, Université de Paris IX (Dauphine)

Abstract

We establish the estimation equations corresponding to a system in which the state is a process with jumps and the observation is a point process. We then solve two problems: the estimation of the state of a queue when its output is observed, and the estimation of the time of disorder of a machine when the ‘complaints process’ is observed.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1975 

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References

[1] Brémaud, P. (1972) A martingale approach to point processes. Ph.D. Thesis, University of California at Berkeley. Memo ERL–M– 345, Electronics Research Laboratory.Google Scholar
[2] Brémaud, P. (1974) The martingale theory of point processes on the real half-line. Proceedings of the IRIA International Colloquium on Control Theory at Rocquencourt. Lecture Notes in Economics and Mathematical Systems 107, Springer Verlag, Berlin.Google Scholar
[3] Davis, M.H.A. (1973) Non-linear filtering with point process observations. Publication 73/10 of the Department of Computing and Control, Imperial College, London.Google Scholar
[4] Davis, M.H.A. (1973) Detection of signals with point process observations. Publication 73/8 of the Department of Computing and Control, Imperial College, London.Google Scholar
[5] Dellacherie, C. (1972) Capacités et Processus Stochastiques. Springer Verlag, Berlin.CrossRefGoogle Scholar
[6] Doleans, C. et Meyer, P.A. (1970) Intégrales stochastiques par rapport aux martingales locales. Dans Séminaire de Probabilités IV, Lecture Notes on Mathematics, Springer Verlag, Berlin.Google Scholar
[7] Fujisaki, M., Kallianpur, G. et Kunita, H. (1972) Stochastic differential equations for the non-linear filtering problem. Osaka J. Math 9, 1940.Google Scholar
[8] Jacod, J. (1973) On the stochastic intensity of a random point process over the half line. Technical Report, Series 2, Department of Statistics, Princeton University.Google Scholar
[9] Jacod, J. (1974) Transformation of measures and Radon-Nikodym derivatives for point processes. Technical report, Series 2, Department of Statistics, Princeton University.Google Scholar
[10] Meyer, P.A. (1965) Probabilités et Potentiel. Hermann, Paris.Google Scholar
[11] Segall, A. (1973) A martingale approach to modelling, estimation and detection of jump processes. Ph.D. Thesis, Stanford University. Technical Report No. 7050–21, Center for Systems Research.Google Scholar
[12] Van Schuppen, J. (1973) Estimation theory for continuous time processes. Ph.D. Thesis, University of California at Berkeley. Memo M–405, Electronics Research Laboratory.Google Scholar
[13] Snyder, D. L. (1972) Filtering and detection for doubly stochastic Poisson processes. IEEE Trans. IT–18, 91102.Google Scholar
[14] Watanabe, S. et Kunita, H. (1967) On square integrable martingales. Nagoya J. Math. 30, 209245.Google Scholar
[15] Rubin, I. (1972) Regular point processes and their detection. IEEE Trans. IT–18, 547557.Google Scholar
[16] Wong, E. (1973) Recent progress in stochastic processes. A review. IEEE Trans. IT–19, 262275.Google Scholar
[17] Zakaï, M. (1969) On the optimal theory filtering of diffusion processes. Z. Wahrscheinlichkeitsth. 11, 230243.Google Scholar
[18] Brémaud, P. (1975) La méthode des semi-martingales en filtrage lorsque l'observation est un processus ponctuel marqué. Séminaire de Probabilités 1974/75, Université de Strasbourg.Google Scholar
[19] Chou, C. S. et Meyer, P. A. (1974) Sur une représentation des martingales comme intégrales stochastiques dans les processus ponctuels. Dans Séminaire de Probabilités IX. Springer-Verlag, Berlin. (À paraître.) Google Scholar
[20] Brémaud, P. et Jacod, J. (1975) Revue des résultats recents sur la théorie des processus ponctuels et le point de vue des martingales. Rapport interne, Département de Mathématiques, Université de Rennes.Google Scholar