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math.ST2026★ 2 cited
Spectral Analysis of Gram Matrices with Missing at Random Observations: Convergence, Central Limit Theorems, and Applications in Statistical Inference
Huiqin Li, Guangming Pan, Yanqing Yin +1
Motivated by the statistical inference using the Gram matrix in the context of missing at random observations, this paper investigates the spectral properties of the random matrice…
math.ST2026
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…