Universal Rank Inference via Residual Subsampling with Application to Large Networks
, Annals of Statistics
, 2023
, 51(3): 1109-1133
Estimating a change point in a sequence of very high-dimensional covariance matrices
, Journal of the American Statistical Association
, 2022
, 117(537): 444-454
Discussion of ’Covariate-assisted ranking and screening for large-scale two-sample inference’
, Journal of the Royal Statistical Society Series B-Statistical Methodology
, 2019
, 81(2): 228-229
Weighted statistic in detecting faint and sparse alternatives for high-dimensional covariance matrices
, Journal of the American Statistical Association
, 2017
, 112(517): 188-200
Power Iteration for Tensor PCA
, Journal of Machine Learning Research
, 2022
, 23(128): 1-47
A unified matrix model including both CCA and F matrices in multivariate analysis: the largest eigenvalue and its applications
, Bernoulli
, 2018
, 24(4B): 3447-3468
Large dimensional empirical likelihood
, Statistica Sinica
, 2015
, 25: 1659-1677