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20132018
most citedEstimation of the population spectral distribution from a large dimensional sample covariance matrix

4 citations · 6 across the 5 of their papers we have counts for

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5 papers

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…

math.ST2017

On spectral properties of high-dimensional spatial-sign covariance matrices in elliptical distributions with applications

Weiming Li, Wang Zhou

Spatial-sign covariance matrix (SSCM) is an important substitute of sample covariance matrix (SCM) in robust statistics. This paper investigates the SSCM on its asymptotic spectral…

stat.ME20171 cited

On structure testing for component covariance matrices of a high-dimensional mixture

Weiming Li, Jianfeng Yao

By studying the family of -dimensional scale mixtures, this paper shows for the first time a non trivial example where the eigenvalue distribution of the corresponding sample co…

stat.ME2013

A local moment estimator of the spectrum of a large dimensional covariance matrix

Weiming Li, Jianfeng Yao

This paper considers the problem of estimating the population spectral distribution from a sample covariance matrix in large dimensional situations. We generalize the contour-integ…

stat.ME20134 cited

Estimation of the population spectral distribution from a large dimensional sample covariance matrix

Weiming Li, Jiaqi Chen, Yingli Qin +2

This paper introduces a new method to estimate the spectral distribution of a population covariance matrix from high-dimensional data. The method is founded on a meaningful general…