Parametric Statistical Change Point Analysis

With Applications to Genetics, Medicine, and Finance

Authors: Chen, Jie, Gupta, Arjun K.

  • Covers change point problems having applications in economics, finance, medicine, and molecular biology
  • Clear and systematic exposition with a great deal of introductory material included
  • Extensive examples emphasize key concepts and different methodologies used
  • Second edition contains new examples related to modern molecular biology, finance, and air traffic control
  • Two new sections of applications of the underlying change point models in analyzing the array Comparative Genomic Hybridization (aCGH) data for DNA copy number changes
  • Accessible to theoretical and applied statisticians as well as graduate and advanced undergraduate students
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About this book

This revised and expanded second edition is an in-depth study of the change point problem from a general point of view, as well as a further examination of change point analysis of the most commonly used statistical models. Change point problems are encountered in such disciplines as economics, finance, medicine, psychology, signal processing, and geology, to mention only several. More recently, change point analysis has been found in extensive applications related to analyzing biomedical imaging data, array Comparative Genomic Hybridization (aCGH) data, and gene expression data. 

The exposition throughout the work is clear and systematic, with a great deal of introductory material included. Different models are presented in each chapter, including gamma and exponential models, rarely examined thus far in the literature. Extensive examples throughout the text emphasize key concepts and different methodologies used, namely the likelihood ratio criterion as well as the Bayesian and information criterion approaches. New examples of change point analysis in modern molecular biology and other fields such as finance and air traffic control are added in this second edition. Also included are two new chapters on change points in the hazard function and other practical change point models such as the epidemic change point model and a smooth-and-abrupt change point model. An up-to-date comprehensive bibliography and two indices round out the work.

Reviews

From the reviews of the second edition:

“The book summarizes several fundamental approaches in dealing with parametric change point models including likelihood, information criteria, and the Bayesian method. … The book serves as an excellent graduate-level textbook for students in statistics, biostatistics, and econometrics, and is a must-read reference for researchers and practitioners on change point models.” (Yanhong Wu, Mathematical Reviews, September, 2013)

"The book summarizes recent developments in parametric change-point analysis. The emphases are on the discussion of a variety of models and formation of test statistics based on three basic methods, namely, the generalized likelihood ratio test (GLRT), Bayesian and information criterion approaches. The main results focus on deriving asymptotically null distributions for the corresponding tests. A major contribution made by the authors is the use of an information criterion to form a test statistic. Another attractive feature is the application of different models to a variety of different data sets...Overall, the book gives a clear and systematic presentation of the models and methods. It will be an excellent source for theoretical and applied statisticians who are interested in research on change-point analysis and its applications to many areas."   —Mathematical Reviews (Review of the First Edition)

"This work is concerned with aposteriori methods of parametric statistical change point analysis...Illustrative examples and useful numerical tables are provided throughout the book."  —Zentralblatt MATH (Review of the First Edition)

"The statistical theory of change point analysis is now well developed, and the monograph under review represents a timely account of a part of it. The book contains [a] detailed explanation of some technical papers on parametric change point analysis. Considerable effort is devoted to presenting detailed proofs of the asymptotic distributions of likelihood procedures based on test statistics for univariate and multivariate normal distributions. The book is generally aimed at researchers and graduate students with a good background in probability and asymptotic theory...In summary, the monograph under review is timely and a good starting point for both researchers and theoretically strong graduate students interested in pursuing theoretical research in nonsequential parametric single-path change point problems."   —SIAM Review (Review of the First Edition)

"Change point detection is of importance in engineering, economics, medicine, science and several fields. This book offers an in-depth study of the problem in some parametric models...The book partially relies on research papers written by the authors. For the reader's convenience, detailed calculations establishing the results are included. On the other hand, examples and statistical tables help the application-oriented reader. Statisticians in science, engineering and finance will find this book useful. It can be recommended also to students, both undergraduate and graduate."   —Publicationes Mathematicae (Review of the First Edition)

"In this monograph under review, the authors collect and describe a series of important models in change point analysis which have proved to be useful in statistical applications...The majority of change point procedures discussed here is for (univariate or multivariate) normal models. This is because such models are very popular and widely used in practice. But other parametric models, like the gamma, exponential, binomial or Poisson model, are also studied...[This] monograph can serve as a useful reference text for various purposes. The advanced student should be encouraged to do some [of his] own research work in an interesting area, the researcher will find a comprehensive exposition of recent developments, and the applied statistician will have a useful collection of change point methods and procedures, illustrated by many numerical examples of real data sets from different applications."   —Statistics & Decisions (Review of the First Edition)  


Table of contents (9 chapters)

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-0-8176-4801-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $99.00
price for USA
  • ISBN 978-0-8176-4800-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Parametric Statistical Change Point Analysis
Book Subtitle
With Applications to Genetics, Medicine, and Finance
Authors
Copyright
2012
Publisher
Birkhäuser Basel
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-0-8176-4801-5
DOI
10.1007/978-0-8176-4801-5
Hardcover ISBN
978-0-8176-4800-8
Edition Number
2
Number of Pages
XIII, 273
Number of Illustrations and Tables
1 b/w illustrations, 23 illustrations in colour
Topics