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On Detecting Multiple Simultaneous Change-points in High Dimensional Non-Stationary Time Series
This paper studies the detection of multiple simultaneous (systematic) change points for high-dimensional nonstantionary economic and financial time series data. The analytic framework used is based on the standard and adaptive fused group lasso method, where the mixed L_{2,1} penalty is either unif
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