A Constrained ℓ 1 Minimization Approach to Sparse Precision Matrix Estimation T Cai, W Liu, X Luo
Journal of the American Statistical Association 106 (494), 594-607, 2011
1221 2011 Adaptive thresholding for sparse covariance matrix estimation T Cai, W Liu
Journal of the American Statistical Association 106 (494), 672-684, 2011
642 2011 A Direct Estimation Approach to Sparse Linear Discriminant Analysis T Cai, W Liu
Arxiv preprint arXiv:1107.3442, 2011
315 2011 Two-sample test of high dimensional means under dependence T Tony Cai, W Liu, Y Xia
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2014
302 2014 Two-sample covariance matrix testing and support recovery T Cai, W Liu, Y Xia
Technical report, 2011
257 * 2011 Estimating sparse precision matrix: Optimal rates of convergence and adaptive estimation TT Cai, W Liu, HH Zhou
227 2016 Gaussian graphical model estimation with false discovery rate control W Liu
218 2013 Covariate Adjusted Precision Matrix Estimation with an Application in Genetical Genomics TT CAI, H LI, W LIU, J XIE
141 * Quantile regression under memory constraint X Chen, W Liu, Y Zhang
136 2019 Asymptotics of spectral density estimates W Liu, WB Wu
Econometric Theory 26 (4), 1218-1245, 2010
132 2010 The asymptotic distribution and Berry–Esseen bound of a new test for independence in high dimension with an application to stochastic optimization WD Liu, Z Lin, QM Shao
98 2008 Komlós–Major–Tusnády approximation under dependence I Berkes, W Liu, WB Wu
The Annals of Probability 42 (2), 794-817, 2014
96 2014 Joint estimation of multiple high-dimensional precision matrices TT Cai, H Li, W Liu, J Xie
Statistica Sinica 26 (2), 445, 2016
92 2016 Fast and adaptive sparse precision matrix estimation in high dimensions W Liu, X Luo
Journal of multivariate analysis 135, 153-162, 2015
80 2015 Probability and moment inequalities under dependence W Liu, H Xiao, WB Wu
Statistica Sinica, 1257-1272, 2013
76 2013 Distributed high-dimensional regression under a quantile loss function X Chen, W Liu, X Mao, Z Yang
Journal of Machine Learning Research 21 (182), 1-43, 2020
75 2020 Phase transition and regularized bootstrap in large-scale -tests with false discovery rate control W Liu, QM Shao
71 2014 Large-scale multiple testing of correlations TT Cai, W Liu
Journal of the American Statistical Association 111 (513), 229-240, 2016
69 2016 Strong approximation for a class of stationary processes W Liu, Z Lin
Stochastic Processes and their Applications 119 (1), 249-280, 2009
69 2009 Distributed inference for linear support vector machine X Wang, Z Yang, X Chen, W Liu
Journal of machine learning research 20 (113), 1-41, 2019
68 2019