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20182022
most citedProvable More Data Hurt in High Dimensional Least Squares Estimator

6 citations · 13 across the 6 of their papers we have counts for

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5 papers · 1 filter

math.ST2022

On singular values of large dimensional lag-tau sample autocorrelation matrices

Zhanting Long, Zeng Li, Ruitao Lin

We study the limiting behavior of singular values of a lag- sample auto-correlation matrix of error term in the high-dimensional factor model. We establish the…

math.ST20192 cited

Central Limit Theorem for Linear Spectral Statistics of Large Dimensional Kendall's Rank Correlation Matrices and its Applications

Zeng Li, Qinwen Wang, Runze Li

This paper is concerned with the limiting spectral behaviors of large dimensional Kendall's rank correlation matrices generated by samples with independent and continuous component…

math.ST20193 cited

Asymptotic joint distribution of extreme eigenvalues and trace of large sample covariance matrix in a generalized spiked population model

Zeng Li, Fang Han, Jianfeng Yao

This paper studies the joint limiting behavior of extreme eigenvalues and trace of large sample covariance matrix in a generalized spiked population model, where the asymptotic reg…

math.ST2018

On testing for high-dimensional white noise

Zeng Li, Clifford Lam, Jianfeng Yao +1

Testing for white noise is a classical yet important problem in statistics, especially for diagnostic checks in time series modeling and linear regression. For high-dimensional tim…

math.ST20181 cited

Joint CLT for eigenvalue statistics from several dependent large dimensional sample covariance matrices with application

Weiming Li, Zeng Li, Jianfeng Yao

Let be a data matrix with complex-valued, independent and standardized entries satisfying a Lindeberg-type moment condition. We consider simult…