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20052023
most citedCorrections to LRT on Large Dimensional Covariance Matrix by RMT

185 citations · 931 across the 49 of their papers we have counts for

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15 papers · 1 filter

math.PR2023

Exact Separation of Eigenvalues of Large Dimensional Noncentral Sample Covariance Matrices

Zhidong Bai, Jiang Hu, Jack W. Silverstein +1

Let $ \bbB_n =\frac{1}{n}(\bbR_n + \bbT^{1/2}_n \bbX_n)(\bbR_n + \bbT^{1/2}_n \bbX_n)^* $ where $ \bbX_n $ is a matrix with independent standardized random variables…

math.PR2023

No Eigenvalues Outside the Support of the Limiting Spectral Distribution of Large Dimensional noncentral Sample Covariance Matrices

Zhidong Bai, Jiang Hu, Jack W. Silverstein +1

Let $ \bbB_n =\frac{1}{n}(\bbR_n + \bbT^{1/2}_n \bbX_n)(\bbR_n + \bbT^{1/2}_n \bbX_n)^* $, where $ \bbX_n $ is a matrix with independent standardized random variable…

math.PR2022

Revisit of a Diaconis urn model

Li Yang, Jiang Hu, Zhidong Bai

Let be a finite Abelian group of order . We consider an urn in which, initially, there are labeled balls that generate the group . Choosing two balls from the urn with re…

math.PR2017★ 4 cited

CLT for linear spectral statistics of large dimensional sample covariance matrices with dependent data

Shurong Zheng, Zhidong Bai, Jianfeng Yao +1

This paper investigates the central limit theorem for linear spectral statistics of high dimensional sample covariance matrices of the form $\mathbf{B}_n=n^{-1}\sum_{j=1}^{n}\mathb…

math.PR2013★ 1 cited

Convergence Rates of Spectral Distribution of Large Dimensional Quaternion Sample Covariance Matrix

Huiqin LI, Zhidong Bai

In this paper, we study the convergence rates of empirical spectral distribution of large dimensional quaternion sample covariance matrix. Assume that the entries of …

math.PR2013★ 3 cited

Extreme Eigenvalues of Large Dimensional Quaternion Sample Covariance Matrix

Huiqin Li, Zhidong Bai

In this paper, we shall investigate the almost sure limits of the largest and smallest eigenvalues of a quaternion sample covariance matrix. Suppose that is a $p\time…