most citedSpectral Analysis of Gram Matrices with Missing at Random Observations: Convergence, Central Limit Theorems, and Applications in Statistical Inference

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing math.STShow all

2 papers · 1 filter

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

The Geometry of Spectral Fluctuations: On Near-Optimal Conditions for Universal Gaussian CLTs, with Statistical Applications

Yanqing Yin, Wang Zhou

We study linear spectral statistics of high dimensional sample covariance matrices in a regime where the empirical spectral distribution remains governed by the classical sample co…