| 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 | 1215 | 2011 |
| Adaptive thresholding for sparse covariance matrix estimation T Cai, W Liu Journal of the American Statistical Association 106 (494), 672-684, 2011 | 638 | 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 | 301 | 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 | 217 | 2013 |
| Covariate Adjusted Precision Matrix Estimation with an Application in Genetical Genomics TT CAI, H LI, W LIU, J XIE | 138* | |
| Quantile regression under memory constraint X Chen, W Liu, Y Zhang | 134 | 2019 |
| Asymptotics of spectral density estimates W Liu, WB Wu Econometric Theory 26 (4), 1218-1245, 2010 | 131 | 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 | 97 | 2008 |
| Komlós–Major–Tusnády approximation under dependence I Berkes, W Liu, WB Wu The Annals of Probability 42 (2), 794-817, 2014 | 95 | 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 | 78 | 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 | 71 | 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 | 66 | 2019 |
T. Tony CaiProfessor of Statistics & Data Science, University of PennsylvaniaVerified email at wharton.upenn.edu
