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
67 * 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
56 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
45 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
35 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
23 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 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
21 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
20 2019 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 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 representation of weak convergence Z Bai, J Hu
SCIENCE CHINA Mathematics 57 (11), 2399-2406, 2014
14 2014 Convergence rates to the Marchenko–Pastur type distribution Z Bai, J Hu, W Zhou
Stochastic Processes and their Applications 122 (1), 68-92, 2012
14 2012 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
13 2018 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
12 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 Invariant test based on the modified correction to LRT for the equality of two high-dimensional covariance matrices Q Zhang, J Hu, Z Bai
9 2019 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 Asymptotics of AIC, BIC and Cp model selection rules in high-dimensional regression Z Bai, KP Choi, Y Fujikoshi, J Hu
Bernoulli 28 (4), 2375-2403, 2022
8 2022