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stat.ME2022
Homogeneity and Sub-homogeneity Pursuit: Iterative Complement Clustering PCA
Daning Bi, Le Chang, Yanrong Yang
Principal component analysis (PCA), the most popular dimension-reduction technique, has been used to analyze high-dimensional data in many areas. It discovers the homogeneity withi…
math.ST2022
Spiked eigenvalues of high-dimensional sample autocovariance matrices: CLT and applications
Daning Bi, Xiao Han, Adam Nie +1
High-dimensional autocovariance matrices play an important role in dimension reduction for high-dimensional time series. In this article, we establish the central limit theorem (CL…