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M. Manfay

Publications and source records attributed to M. Manfay.

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Stability of hybrid Levy systems

Continuous-time stochastic systems have attracted a lot of attention recently, due to their wide-spread use in finance for modelling price-dynamics. More recently models taking into accounts shocks have been developed by assuming that the return process is an infinitesimal Levy process. Levy processes are also used to model the traffic in a telecommunication network. In this paper we focus on a particular technical problem: stability of time-varying stochastic systems driven or modulated by a Levy process with discrete time interventions, such as parameter or state resetting. Such systems will be called hybrid Levy systems. They are hybrid in the sense that jumps both in the dynamics may occur. The peculiarity of our systems is that the jump-times are defined by a more or less arbitrary point process, but there exists an asymmetry in the system dynamics. The novelty of our model relative to the theory of switching stochastic systems is two-fold. First, we allow slow time variation of the parameters, in a stochastic sense, without any statistical pattern, in the spirit of the classical stability result of Desoer. Secondly, we allow certain jumps (resetting) in the system parameters almost without any a priori condition.

math.PR

Empirical characteristic function identification of linear stochastic systems with possibly unstable zeros

The purpose of this paper is to adapt the empirical characteristic function (ECF) method to stable, but possibly not inverse stable linear stochastic system driven by the increments of a Levy-process. A remarkable property of the ECF method for i.i.d. data is that, under an ideal setting, it gives an efficient estimate of the unknown parameters of a given parametric family of distributions. Variants of the ECF method for special classes of dependent data has been suggested in several papers using the joint characteristic function of blocks of unprocessed data. However, the latter may be unavailable for Levy-systems. We introduce a new, computable score that is essentially a kind of output error. The feasibility of the procedure is based on a result of Devroye on the generation of r.v.-s with given c.f. Two special cases are considered in detail, and the asymptotic covariance matrices of the estimators are given. The present work extends our previous work on the ECF identification of stable and inverse stable linear stochastic Levy-systems.

stat.ME