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An introduction to stochastic filtering theory /

Stochastic filtering theory is a field that has seen a rapid development in recent years and this book, aimed at graduates and researchers in applied mathematics, provides an accessible introduction covering recent developments. - ;Stochastic Filtering Theory uses probability tools to estimate unobs...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Xiong, Jie
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford, UK : Oxford University Press, 2008.
Colección:Oxford graduate texts in mathematics ; 18.
Oxford mathematics.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:Stochastic filtering theory is a field that has seen a rapid development in recent years and this book, aimed at graduates and researchers in applied mathematics, provides an accessible introduction covering recent developments. - ;Stochastic Filtering Theory uses probability tools to estimate unobservable stochastic processes that arise in many applied fields including communication, target-tracking, and mathematical finance. As a topic, Stochastic Filtering Theory has progressed rapidly in recent years. For example, the (branching) particle system representation of the optimal filter has bee.
Descripción Física:1 online resource (xiii, 270 pages)
Bibliografía:Includes bibliographical references and index.
ISBN:0191551392
9780199219704
0199219702
9780191551390