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Preliminaries

  • Jie Chen
  • Arjun K. Gupta
Chapter

Abstract

The world is filled with changes. An awareness of those changes can help people avoid unnecessary losses and to harness beneficial transitions. In many practical situations, a statistician is faced with the problem of detecting the number of change points or jumps and their locations. This is known as the change point problem. Enormous practical problems can be found in many disciplines.

Keywords

Change Point Change Point Detection Change Point Analysis Binary Segmentation Change Point Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Department of Mathematics and StatisticsUniversity of Missouri-Kansas CityKansas CityUSA
  2. 2.Department of Mathematics and StatisticsBowling Green State UniversityBowling GreenUSA

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