In many cases, data are collected in order to analyse the time dependent dynamic behaviour of an underlying stochastic process. It is particularly interesting to detect changes - so-called structural breaks or change-points - in the time series. Current examples can be found in neurosciences and climatology, but also in quality control and financial engineering.


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