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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

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5 papers · 1 filter

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.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…