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On Parameter Estimation for Linear and Nonlinear Stochastic Systems

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IUTAM Symposium on Nonlinear Stochastic Dynamics

Part of the book series: Solid Mechanics and Its Applications ((SMIA,volume 110))

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Abstract

The overview of some results of [2], [3] on estimation of parameters in linear systems is presented. Some recent results of [4] concerning estimation of f′(0) (f(x) is a drift vector) for nonlinear systems are discussed too. It is shown that conditions for an existence of a consistent, and the more, asymptotically efficient estimator for f′(0) are essentially less restrictive for the stable in probability systems. Some simple mechanical examples are presented and discussed.

Partially supported by NSF Grant DMS 9979971608

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References

  1. L. Arnold, E. Oeljeklaus, and E. Pardoux, “Almost sure and moment stability for linear Itô equations,” in: Lyapunov exponents (L. Arnold and V. Wihstutz, eds.), Lecture Notes in Math., vol. 1186, Springer, Berlin, pp. 129–159, 1986.

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  2. A. Jankunas and R. Khasminskii, “Estimation of parameters of linear stochastic differential equations,” Stoch. Proc. Applic., vol. 72, (1997), pp. 205–219, 1997.

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  3. R. Khasminskii, N. Krylov, N. Moshchuk, “On the estimation of parameters for linear stochastic differential equations,” Probab. Theory Relat. Fields, vol. 113, pp. 443–472, 1999.

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  4. R. Khasminskii and G. Milstein, “On estimation of the linearized drift for nonlinear stochastic differential equations,” Stochostic and Dynamics, vol. 1, no. 1, pp. 23–43, 2001.

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© 2003 Springer Science+Business Media Dordrecht

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Khasminskii, R.Z. (2003). On Parameter Estimation for Linear and Nonlinear Stochastic Systems. In: Namachchivaya, N.S., Lin, Y.K. (eds) IUTAM Symposium on Nonlinear Stochastic Dynamics. Solid Mechanics and Its Applications, vol 110. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0179-3_20

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  • DOI: https://doi.org/10.1007/978-94-010-0179-3_20

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-3985-7

  • Online ISBN: 978-94-010-0179-3

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