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math.ST2022
Inference for Change Points in High-Dimensional Time Series via a Two-Way MOSUM
Jiaqi Li, Likai Chen, Weining Wang +1
We propose an inference method for detecting multiple change points in high-dimensional time series, targeting dense or spatially clustered signals. Our method aggregates moving su…
math.ST2022
Sequential Detection of Common Change in High-dimensional Data Stream
Yanhong Wu, Wei Biao Wu
After obtaining an accurate approximation for , we first consider the optimal design of weight parameter for a multivariate EWMA chart that minimizes the stationary average…