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特任教授
- 电子邮箱：ae9447b2ee6d9e33e9acc641af5eff946ce2c884161f9b694eb9b7c8de001d08d822ac5e226463425b3a7e5797d5e43da579ec05d8a56b1b2daad16945b3062dc02a05fd7303176d546eee332fff1d103143cebafd999635663dec361cf2eb7dd467d9d05a34bbbaa55b70f559119c610e247b780e9154c8600a019feab3d2d3
- 学位：博士
访问量：
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[1]Eigen selection in spectral clustering: a theory guided practice, Journal of the American Statistical Association, 2021.
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[2]Limiting laws for divergent spiked eigenvalues and largest nonspiked eigenvalue of sample covariance matrices, Annals of Statistics, 2020, 48(3): 1255-1280.
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[3]X. Han, G. Pan and B. Zhang, “The Tracy-Widom law for the Largest Eigenvalue of F Type Matrix,” The Annals of Statistics, vol.44, no. 4, pp. 1564–1592, 2016.
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[4]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.
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[5]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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[6]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.
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[7]X. Wang, X. Han and G. Pan, “The Logarithmic Law of Sample Covariance Matrices Near Singularity,” Bernoulli, vol. 24, no. 1, pp. 80–114, 2018.
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[8]Q. Fan, X. Han, B. Jiang and G. Pan, “Estimating a Large System of Seemingly Unrelated Regressions Using Penalized Quasi-Maximum Likelihood Estimation,” Econometric Theory, Accepted.
