Change Point Detection

Change point detection aims to accurately identify abrupt changes and significant variations in the behavior of time series. Its core task is to discover changes in the underlying model of signals or time series. This task can be divided into online methods and offline methods; the former implements real-time detection, while the latter performs retrospective analysis after receiving all samples. Change point detection has important application value in fields such as finance, healthcare, and industrial monitoring.