| Canonical correlation coefficients of high-dimensional Gaussian vectors: finite rank case Z Bao, J Hu, G Pan, W Zhou The Annals of Statistics 47 (1), 612-640, 2019 | 63* | 2019 |
| On testing the equality of high dimensional mean vectors with unequal covariance matrices J Hu, Z Bai, C Wang, W Wang Annals of the Institute of Statistical Mathematics 69, 365-387, 2017 | 53 | 2017 |
| A review of 20 years of naive tests of significance for high-dimensional mean vectors and covariance matrices J Hu, Z Bai Science China Mathematics 59, 2281-2300, 2016 | 42 | 2016 |
| High-dimensional covariance matrices in elliptical distributions with application to spherical test J Hu, W Li, Z Liu, W Zhou The Annals of Statistics 47 (1), 527-555, 2019 | 27 | 2019 |
| Convergence of the empirical spectral distribution function of Beta matrices Z Bai, J Hu, G Pan, W Zhou Bernoulli 21 (3), 1538-1574, 2015 | 24 | 2015 |
| On the semicircular law of large-dimensional random quaternion matrices Y Yin, Z Bai, J Hu Journal of Theoretical Probability 29, 1100-1120, 2016 | 22 | 2016 |
| Test of independence for high-dimensional random vectors based on freeness in block correlation matrices Z Bao, J Hu, G Pan, W Zhou Electronic Journal of Statistics 11 (1), 1527-1548, 2017 | 17 | 2017 |
| Modified Pillai’s trace statistics for two high-dimensional sample covariance matrices Q Zhang, J Hu, Z Bai Journal of Statistical Planning and Inference 207, 255-275, 2020 | 16 | 2020 |
| Central limit theorem for mutual information of large MIMO systems with elliptically correlated channels J Hu, W Li, W Zhou IEEE Transactions on Information Theory 65 (11), 7168 - 7180, 2019 | 16 | 2019 |
| Convergence rates to the Marchenko–Pastur type distribution Z Bai, J Hu, W Zhou Stochastic Processes and their Applications 122 (1), 68-92, 2012 | 15 | 2012 |
| A note on rate of convergence in probability to semicircular law Z Bai, J Hu, G Pan, W Zhou Electronic Journal of Probability 16, 2439-2451, 2011 | 15 | 2011 |
| Strong consistency of the AIC, BIC, and KOO methods in high-dimensional multivariate linear regression Z Bai, Y Fujikoshi, J Hu arXiv preprint arXiv:1810.12609, 2018 | 14 | 2018 |
| Strong representation of weak convergence Z Bai, J Hu SCIENCE CHINA Mathematics 57 (11), 2399-2406, 2014 | 14 | 2014 |
| Multi-sample test for high-dimensional covariance matrices C Zhang, Z Bai, J Hu, C Wang Communications in Statistics-Theory and Methods 47 (13), 3161-3177, 2018 | 11 | 2018 |
| On the limit of the spectral distribution of large-dimensional random quaternion covariance matrices Y Yin, J Hu Random Matrices: Theory and Applications 6 (02), 1750004, 2017 | 11 | 2017 |
| Test on the linear combinations of mean vectors in high-dimensional data H Li, J Hu, Z Bai, Y Yin, K Zou Test 26 (1), 188-208, 2017 | 11 | 2017 |
| On the limit of extreme eigenvalues of large dimensional random quaternion matrices Y Yin, Z Bai, J Hu Physics Letters A 378 (16-17), 1049–1058, 2014 | 10 | 2014 |
| Convergence of empirical spectral distributions of large dimensional quaternion sample covariance matrices H Li, ZD Bai, J Hu Annals of the Institute of Statistical Mathematics 68, 765-785, 2016 | 9 | 2016 |
| Community detection based on the l∞ convergence of eigenvectors in dcbm Y Liu, Z Hou, Z Yao, Z Bai, J Hu, S Zheng arXiv preprint arXiv:1906.06713 2103, 2019 | 8 | 2019 |
| Invariant test based on the modified correction to LRT for the equality of two high-dimensional covariance matrices Q Zhang, J Hu, Z Bai | 8 | 2019 |
