Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistical analysis, change detection tries to identify changes in the probability distribution of a stochastic process or time series. In general the problem concerns both detecting whether or not a change has occurred, or whether several changes might haver occurred, and identifying the times of any such changes. Specific applications may be concerned with changes in the mean, variance, correlation, or spectral density of the process. More generally change detection also includes the detection of anomalous behavior: anomaly detection.

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