Overview
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 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.
Full Product Details
Author: Jie Xiong (Department of Mathematics, University of Tennesse)
Publisher: Oxford University Press
Imprint: Oxford University Press
Volume: 18
Dimensions:
Width: 16.20cm
, Height: 2.20cm
, Length: 24.20cm
Weight: 0.556kg
ISBN: 9780199219704
ISBN 10: 0199219702
Pages: 286
Publication Date: 17 April 2008
Audience:
College/higher education
,
Postgraduate, Research & Scholarly
Format: Hardback
Publisher's Status: Active
Availability: To order
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.
Reviews
<br> The book provides the reader with a comprehensive view of the mathematical theory of optimal filtering of diffusion processes. The presentation in the book is remarkably self-contained, making the reading enjoyable for an expert and accessible to a beginner. --Mathematical Reviews<br>
The book provides the reader with a comprehensive view of the mathematical theory of optimal filtering of diffusion processes. The presentation in the book is remarkably self-contained, making the reading enjoyable for an expert and accessible to a beginner. --Mathematical Reviews
Author Information
Jie Xiong received his PhD in Statistics from the University of North Carolina in 1992. He accepted a position as Assistant Professor in the University of Tennessee in 1993, and remains a professor in the Department of Mathematics. Besides many short visits to other institutes, he spent six months visiting the University of Wisconsin, another six months visiting the Fields Institute in Toronto, a year working in the University of Alberta as a Tier II Canada Research Chair in Stochastic Processes and Filtering, and one year in Weierstrass Institute in Berlin supported by a Humboldt Research Fellowship. Currently, he serves on the editorial board of the journal Communication on Stochastic Analysis.
