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Approximation of nonlinear filtering problems and order of convergence

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Filtering and Control of Random Processes

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 61))

Abstract

In this paper, we consider a filtering problem where the observation is a function of a diffusion corrupted by an independent white noise. We estimate the error caused by a discretization of the time interval ; we obtain some approximations of the optimal filter which can be computed with Monte-Carlo methods and we study the order of convergence.

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References

  1. G. Kallianpur — Stochastic filtering theory, Applications of Mathematics 13, Springer 1980.

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Authors

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Hayri Korezlioglu Gérald Mazziotto Jacques Szpirglas

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© 1984 Springer-Verlag

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Picard, J. (1984). Approximation of nonlinear filtering problems and order of convergence. In: Korezlioglu, H., Mazziotto, G., Szpirglas, J. (eds) Filtering and Control of Random Processes. Lecture Notes in Control and Information Sciences, vol 61. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0006572

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  • DOI: https://doi.org/10.1007/BFb0006572

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-13270-7

  • Online ISBN: 978-3-540-38832-6

  • eBook Packages: Springer Book Archive

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