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20142026
most citedIdentifying the number of factors from singular values of a large sample auto-covariance matrix

42 citations · 65 across the 12 of their papers we have counts for

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7 papers · 1 filter

math.ST2026

On Eigenvector Statistics of Large-Dimensional Sample Covariance Matrices with Applications

Weiming Li, Zeng Li, Qinwen Wang

We study the eigenvector-weighted spectral statistics \[ T_n(φ,g)=p^{-1}tr\{φ(\boldsymbol{S}_n)g(\boldsymbolΣ)\} \] of large-dimensional sample covariance matrices \(\boldsymbol{S}…

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.ST2021★ 1 cited

On eigenvalues of a high-dimensional Kendall's rank correlation matrix with dependence

Zeng Li, Cheng Wang, Qinwen Wang

This paper investigates limiting spectral distribution of a high-dimensional Kendall's rank correlation matrix. The underlying population is allowed to have general dependence stru…

math.ST2019★ 2 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.ST2019★ 3 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★ 4 cited

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.ST2018★ 1 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…