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20182021
most citedNo eigenvalues outside the limiting support of the spectral distribution of general sample covariance matrices

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

collaborators

6 papers

math.ST2021

Spectral statistics of high dimensional sample covariance matrix with unbounded population spectral norm

Yanqing Yin

In this paper, we establish some new central limit theorems for certain spectral statistics of a high-dimensional sample covariance matrix under a divergent spectral norm populatio…

math.ST20191 cited

Central limit theorem for linear spectral statistics of general separable sample covariance matrices with applications

Huiqin Li, Yanqing Yin, Shurong Zheng

In this paper, we consider the separable covariance model, which plays an important role in wireless communications and spatio-temporal statistics and describes a process where the…

math.ST20191 cited

Model-Free Tests for Series Correlation in Multivariate Linear Regression

Yanqing Yin

Testing for series correlation among error terms is a basic problem in linear regression model diagnostics. The famous Durbin-Watson test and Durbin's h-test rely on certain model…

math.ST2018

On singular value distribution of large dimensional data matrices whose columns have different correlations

Yanqing Yin

Suppose is a data matrix whose columns have different correlations. The asymptotic spectral…

math.PR2018

Gaussian fluctuations for linear spectral statistics of Wigner beta ensembles

Yanqing Yin

As an important topic in Mathematical Physics and statistics, random matrices theory has found uses in many aspects of modern physics and multivariate analysis. This paper is to in…

math.PR20182 cited

No eigenvalues outside the limiting support of the spectral distribution of general sample covariance matrices

Yanqing Yin

This paper is to investigate the spectral properties of sample covariance matrices under a more general population. We consider a class of matrices of the form $\mathbf S_n=\frac1n…