Quickest detection

The problem of detecting abrupt changes in the behavior of an observed signal or time series arises in a variety of fields, including climate modeling, finance, image analysis, and security. Quickest detection refers to real-time detection of such changes as quickly as possible after they occur. Usi...

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Detalles Bibliográficos
Autor principal: Poor, H. Vincent (-)
Otros Autores: Hadjiliadis, Olympia
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cambridge, UK ; New York : Cambridge University Press 2009.
Colección:EBSCO Academic eBook Collection Complete.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b38400881*spi
Descripción
Sumario:The problem of detecting abrupt changes in the behavior of an observed signal or time series arises in a variety of fields, including climate modeling, finance, image analysis, and security. Quickest detection refers to real-time detection of such changes as quickly as possible after they occur. Using the framework of optimal stopping theory, this book describes the fundamentals underpinning the field, providing the background necessary to design, analyze, and understand quickest detection algorithms. For the first time the authors bring together results which were previously scattered across disparate disciplines, and provide a unified treatment of several different approaches to the quickest detection problem. This book is essential reading for anyone who wants to understand the basic statistical procedures for change detection from a fundamental viewpoint, and for those interested in theoretical questions of change detection. It is ideal for graduate students and researchers of engineering, statistics, economics, and finance.
Descripción Física:xii, 229 p. : il
Formato:Forma de acceso: World Wide Web.
Bibliografía:Incluye referencias bibliográficas (p. 213-224) e índice.
ISBN:9780511480652
9780511479854
9780521621045
9780511754678