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20132021
most citedConvergence rates of the spectral distributions of large random quaternion self-dual Hermitian matrices

11 citations · 36 across the 10 of their papers we have counts for

collaborators

10 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.ST2019★ 1 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.ST2019★ 1 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★ 1 cited

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.PR2018★ 2 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…

math.ST2016★ 4 cited

Homoscedasticity tests for both low and high-dimensional fixed design regressions

Zhidong Bai, Guangming Pan, Yanqing Yin

This paper is to prove the asymptotic normality of a statistic for detecting the existence of heteroscedasticity for linear regression models without assuming randomness of covaria…

math.PR2013★ 11 cited

Convergence rates of the spectral distributions of large random quaternion self-dual Hermitian matrices

Yanqing Yin, Zhidong Bai

In this paper, convergence rates of the spectral distributions of quaternion self-dual Hermitian matrices are investigated. We show that under conditions of finite 6th moments, the…

math.PR2013★ 11 cited

On the limit of extreme eigenvalues of large dimensional random quaternion matrices

Yanqing Yin, Zhidong Bai, Jiang Hu

Since E.P.Wigner (1958) established his famous semicircle law, lots of attention has been paid by physicists, probabilists and statisticians to study the asymptotic properties of t…

math.PR2013★ 5 cited

On the semicircular law of large dimensional random quaternion matrices

Yanqing Yin, Zhidong Bai, Jiang Hu

It is well known that Gaussian symplectic ensemble (GSE) is defined on the space of quaternion self-dual Hermitian matrices with Gaussian random elements. There is a hu…