Quickest Detection

Erscheinungsjahr 2015
ISBN: 978-0-521-62104-5
Verlag: Cambridge University Press

Buch, Englisch, 244 Seiten, Format (B × H): 175 mm x 250 mm, Gewicht: 607 g

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.

Autoren/Hrsg.

Poor, H. Vincent

Hadjiliadis, Olympia

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Optische Nachrichtentechnik

Inhaltsverzeichnis

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.

Über Autor(innen)

Poor, H. Vincent
H. Vincent Poor is Michael Henry Strater University Professor of Electrical Engineering, and Dean of the School Engineering and Applied Science, at Princeton University, from which he received his Ph.D. in 1977. Prior to joining the Princeton faculty in 1990, he was on the faculty of the University of Illinois at Urbana-Champaign, and has held visiting positions at a number of other institutions, including Imperial College, Harvard University and Stanford University. He is a Fellow of the IEEE, the Institute of Mathematical Statistics, and the American Academy of Arts and Sciences, as well as a member of the U.S. National Academy of Engineering.

Hadjiliadis, Olympia
Olympia Hadjiliadis is an Assistant Professor in the Department of Mathematics at Brooklyn College, City University of New York. She was awarded her M.Math in Statistics and Finance in 1999 from the University of Waterloo, Canada. After receiving her Ph.D. in Statistics with distinction from Columbia University in 2005, Dr. Hadjiladis joined the Electrical Engineering Department at Princeton as a Postdoctoral Fellow, where she is also currently appointed as a Research Collaborator.