Multiple‐change‐point detection for high dimensional time series via sparsified binary segmentation

Time series segmentation, which is also known as multiple‐change‐point detection, is a well‐established problem. However, few solutions have been designed specifically for high dimensional situations. Our interest is in segmenting the second‐order structure of a high dimensional time series. In a ge...

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