Limiting eigen-structure of spiked sample covariance matrices under missing observations

Haotian Cheng, Huiqin Li, Yanqing Yin +1

High-dimensional Principal Component Analysis (PCA) has become an essential tool in modern data analysis, offering dimensionality reduction and feature extraction. However, the pre…