中国科学技术大学 hanxiao--Home-- T. Cai, X. Han and G. Pan, “Limiting Laws for Divergent Spiked Eigenvalues and Largest Non-spiked Eigenvalue of Sample Covariance Matrices,” The Annals of Statistics, Accepted

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T. Cai, X. Han and G. Pan, “Limiting Laws for Divergent Spiked Eigenvalues and Largest Non-spiked Eigenvalue of Sample Covariance Matrices,” The Annals of Statistics, Accepted

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Pre One:J. Gao, X. Han, G. Pan and Y. R. Yang, “High Dimensional Correlation Matrices: CLT and Its Applications,” Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 79, no. 3, pp. 677–693, 2017

Next One:X. Han, G. Pan * and Q. Yang, “A Unified Matrix Model including Both CCA and F Matrices in Multivariate Analysis: The Largest Eigenvalue and Its Applications,” Bernoulli, vol. 24, no. 4B, pp. 3447–3468, 2018