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The Geometry of Filtering / by K. David Elworthy, Yves Le Jan, Xue-Mei Li
(Frontiers in Mathematics)

データ種別 電子ブック
出版者 Basel : Springer Basel
出版年 2010
本文言語 英語
大きさ XI, 169 p : online resource

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URL 電子ブック


EB0125057

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内容注記 Diffusion Operators
Decomposition of Diffusion Operators
Equivariant Diffusions on Principal Bundles
Projectible Diffusion Processes and Markovian Filtering
Filtering with non-Markovian Observations
The Commutation Property
Example: Riemannian Submersions and Symmetric Spaces
Example: Stochastic Flows
Appendices
一般注記 Filtering is the science of nding the law of a process given a partial observation of it. The main objects we study here are di usion processes. These are naturally associated with second-order linear di erential operators which are semi-elliptic and so introduce a possibly degenerate Riemannian structure on the state space. In fact, much of what we discuss is simply about two such operators intertwined by a smooth map, the \projection from the state space to the observations space", and does not involve any stochastic analysis. From the point of view of stochastic processes, our purpose is to present and to study the underlying geometric structure which allows us to perform the ltering in a Markovian framework with the resulting conditional law being that of a Markov process which is time inhomogeneous in general. This geometry is determined by the symbol of the operator on the state space which projects to a symbol on the observation space. The projectible symbol induces a (possibly non-linear and partially de ned) connection which lifts the observation process to the state space and gives a decomposition of the operator on the state space and of the noise. As is standard we can recover the classical ltering theory in which the observations are not usually Markovian by application of the Girsanov- Maruyama-Cameron-Martin Theorem. This structure we have is examined in relation to a number of geometrical topics
著者標目 *Elworthy, K. David author
Le Jan, Yves author
Li, Xue-Mei author
SpringerLink (Online service)
件 名 LCSH:Mathematics
LCSH:Global analysis (Mathematics)
LCSH:Manifolds (Mathematics)
LCSH:Numerical analysis
LCSH:Differential geometry
LCSH:Probabilities
FREE:Mathematics
FREE:Numerical Analysis
FREE:Probability Theory and Stochastic Processes
FREE:Differential Geometry
FREE:Global Analysis and Analysis on Manifolds
分 類 DC23:518
巻冊次 ISBN:9783034601764 REFWLINK
ISBN 9783034601764
URL http://dx.doi.org/10.1007/978-3-0346-0176-4
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