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Interacting Particle Filtering With Discrete Observations

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Sequential Monte Carlo Methods in Practice

Part of the book series: Statistics for Engineering and Information Science ((ISS))

Abstract

We consider a pair of processes (X,Y), where X represents the state of a system (or signal) and Y represents the observation: X may take its values in an arbitrary measurable space (E,ε), but it is important for what follows that Y take its values in q for some q ≥ 1.

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© 2001 Springer Science+Business Media New York

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Del Moral, P., Jacod, J. (2001). Interacting Particle Filtering With Discrete Observations. In: Doucet, A., de Freitas, N., Gordon, N. (eds) Sequential Monte Carlo Methods in Practice. Statistics for Engineering and Information Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3437-9_3

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  • DOI: https://doi.org/10.1007/978-1-4757-3437-9_3

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-2887-0

  • Online ISBN: 978-1-4757-3437-9

  • eBook Packages: Springer Book Archive

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