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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, UK ; New York :
Cambridge University Press,
2009.
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| Colección: | Cambridge books online.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Poor, H. Vincent. | |
| 245 | 1 | 0 | |a Quickest detection / |c H.H. Vincent Poor, Olympia Hadjiliadis. |
| 260 | |a Cambridge, UK ; |a New York : |b Cambridge University Press, |c 2009. | ||
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| 504 | |a Includes bibliographical references (pages 213-224) and index. | ||
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| 520 | |a 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. | ||
| 505 | 0 | |a Cover; Half-title; Title; Copyright; Dedication; Contents; Figures; Preface; Frequently used notation; 1 Introduction; 2 Probabilistic framework; 3 Markov optimal stopping theory; 4 Sequential detection; 5 Bayesian quickest detection; 6 Non-Bayesian quickest detection; 7 Additional topics; Bibliography; Index | |
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| 700 | 1 | |a Hadjiliadis, Olympia. | |
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