Artículos con órdenes de acceso público - Jiang HuMás información
No disponibles en ningún lugar: 10
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
Órdenes: National Natural Science Foundation of China
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
Órdenes: National Natural Science Foundation of China
On LR simultaneous test of high-dimensional mean vector and covariance matrix under non-normality
Z Niu, J Hu, Z Bai, W Gao
Statistics & Probability Letters 145, 338-344, 2019
Órdenes: National Natural Science Foundation of China
Limiting Canonical Distribution of Two Large-Dimensional Random Vectors
Z Bai, Z Hou, J Hu, D Jiang, X Zhang
Methodology and Applications of Statistics: A Volume in Honor of CR Rao on …, 2022
Órdenes: National Natural Science Foundation of China
Limiting spectral distribution of high-dimensional noncentral Fisher matrices and its analysis
X Zhang, Z Bai, J Hu
Science China Mathematics 66 (2), 393-408, 2023
Órdenes: National Natural Science Foundation of China
CLT for linear spectral statistics of high-dimensional sample covariance matrices in elliptical distributions
Y Zhang, J Hu, W Li
Journal of Multivariate Analysis 191, 105007, 2022
Órdenes: National Natural Science Foundation of China
Approximation of the power functions of Roy’s largest root test under general spiked alternatives
Z Hou, Y Liu, Z Bai, J Hu
Random Matrices: Theory and Applications 10 (01), 2150006, 2021
Órdenes: National Natural Science Foundation of China
The eigenvector LSD of information plus noise matrices and its application to linear regression model
Y Li, H Zhou, J Hu
Statistics & Probability Letters 197, 109811, 2023
Órdenes: National Natural Science Foundation of China
Kernel estimators for Mar c˘ enko–Pastur law of quaternion sample covariance matrices
L Yang, J Hu
Statistics & Probability Letters 126, 230-237, 2017
Órdenes: National Natural Science Foundation of China
RDS free CLT for spiked eigenvalues of high-dimensional covariance matrices
Y Liu, Z Bai, H Li, J Hu, Z Lv, S Zheng
Statistics & Probability Letters 187, 109501, 2022
Órdenes: National Natural Science Foundation of China
Disponibles en algún lugar: 16
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
Órdenes: National Natural Science Foundation of China, Research Grants Council, Hong Kong
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
Órdenes: National Natural Science Foundation of China
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
Órdenes: National Natural Science Foundation of China
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
Órdenes: National Natural Science Foundation of China
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
Órdenes: National Natural Science Foundation of China
Strong representation of weak convergence
Z Bai, J Hu
SCIENCE CHINA Mathematics 57 (11), 2399-2406, 2014
Órdenes: National Natural Science Foundation of China
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
Órdenes: National Natural Science Foundation of China
Invariant test based on the modified correction to LRT for the equality of two high-dimensional covariance matrices
Q Zhang, J Hu, Z Bai
Órdenes: National Natural Science Foundation of China
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
Órdenes: National Natural Science Foundation of China
Spectral Statistics of Sample Block Correlation Matrices
Z Bao, J Hu, X Xu, X Zhang
The Annals of Statistics (forthcoming), 2024
Órdenes: Research Grants Council, Hong Kong
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