ISBN: 9780199219704 - an introduction to stochastic filtering theory: 18 (15 risultati)

Condizione: New. 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. Series: Oxford Graduate Texts in Mathematics. Num Pages: 286 pages, black & white illustrations, figures. BIC Classification: KFF; PBKJ; TBC. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 242 x 162 x 22. Weight in Grams: 556. . 2008. Illustrated. hardcover. . . . .…

Condizione: New.

Condizione: New. 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. Series: Oxford Graduate Texts in Mathematics. Num Pages: 286 pages, black & white illustrations, figures. BIC Classification: KFF; PBKJ; TBC. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 242 x 162 x 22. Weight in Grams: 556. . 2008. Illustrated. hardcover. . . . . Books ship from the US and Ireland.…

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: new. Questo è un articolo print on demand.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand pp. xiii + 270.

Hardcover. Condizione: new. Hardcover. 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 been extensively studied to seek more effective numerical approximations of theoptimal filter; the stability of the filter with "incorrect" initial state, as well as the long-term behavior of the optimal filter, has attracted the attention of many researchers; and although still inits infancy, the study of singular filtering models has yielded exciting results.In this text, Jie Xiong introduces the reader to the basics of Stochastic Filtering Theory before covering these key recent advances. The text is written in a style suitable for graduates in mathematics and engineering with a background in basic probability. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Condizione: Neu. An Introduction to Stochastic Filtering Theory | Xiong | Buch | Gebunden | Englisch | 2011 | Oxford University Press (UK) | EAN 9780199219704 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Condizione: New. Print on Demand pp. xiii + 270.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 been extensively studied to seek more effective numerical approximations of the optimal filter; the stability of the filter with 'incorrect' initial state, as well as the long-term behavior of the optimal filter, has attracted the attention of many researchers; and although still in its infancy, the study of singular filteringmodels has yielded exciting results.In this text, Jie Xiong introduces the reader to the basics of Stochastic Filtering Theory before covering these key recent advances. The text is written in a style suitable for graduates in mathematics and engineering with a background in basic probability. …

Condizione: New. PRINT ON DEMAND pp. xiii + 270.