| Discussion of "Large covariance estimation by thresholding principal orthogonal complements" CY Tang, Y Fan Journal of the Royal Statistical Society Series B 75, 671, 2013 | 1044* | 2013 |
| Tuning parameter selection in high dimensional penalized likelihood Y Fan, CY Tang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2013 | 439 | 2013 |
| Nonparametric inference of value-at-risk for dependent financial returns SX Chen, CY Tang Journal of financial econometrics 3 (2), 227-255, 2005 | 224 | 2005 |
| Parameter estimation and bias correction for diffusion processes CY Tang, SX Chen Journal of Econometrics 149 (1), 65-81, 2009 | 215 | 2009 |
| Penalized high-dimensional empirical likelihood CY Tang, C Leng Biometrika 97 (4), 905-920, 2010 | 131 | 2010 |
| Sparse matrix graphical models C Leng, CY Tang Journal of the American Statistical Association 107 (499), 1187-1200, 2012 | 123 | 2012 |
| Marginal empirical likelihood and sure independence feature screening J Chang, CY Tang, Y Wu Annals of statistics 41 (4), 10.1214/13-AOS1139, 2013 | 116 | 2013 |
| A joint modelling approach for longitudinal studies W Zhang, C Leng, CY Tang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2015 | 113 | 2015 |
| A test for model specification of diffusion processes SX Chen, J Gao, CY Tang | 105 | 2008 |
| Penalized empirical likelihood and growing dimensional general estimating equations C Leng, CY Tang Biometrika 99 (3), 703-716, 2012 | 97 | 2012 |
| Empirical likelihood and quantile regression in longitudinal data analysis CY Tang, C Leng Biometrika 98 (4), 1001-1006, 2011 | 61 | 2011 |
| A new scope of penalized empirical likelihood with high-dimensional estimating equations J Chang, CY Tang, TT Wu The Annals of Statistics 46 (6B), 3185-3216, 2018 | 59 | 2018 |
| Local independence feature screening for nonparametric and semiparametric models by marginal empirical likelihood J Chang, CY Tang, Y Wu Annals of statistics 44 (2), 515, 2016 | 49 | 2016 |
| An efficient empirical likelihood approach for estimating equations with missing data CY Tang, Y Qin Biometrika 99 (4), 1001-1007, 2012 | 43 | 2012 |
| An empirical likelihood approach to quantile regression with auxiliary information CY Tang, C Leng Statistics & Probability Letters 82 (1), 29-36, 2012 | 31 | 2012 |
| Mann–Whitney test with adjustments to pretreatment variables for missing values and observational study SX Chen, J Qin, CY Tang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2013 | 29 | 2013 |
| High-dimensional empirical likelihood inference J Chang, SX Chen, CY Tang, TT Wu Biometrika 108 (1), 127-147, 2021 | 27 | 2021 |
| A quasi-maximum likelihood approach for integrated covariance matrix estimation with high frequency data C Liu, CY Tang Journal of Econometrics 180 (2), 217-232, 2014 | 27 | 2014 |
| Empirical likelihood for censored linear regression and variable selection TT Wu, G Li, C Tang Scandinavian Journal of Statistics 42 (3), 798-812, 2015 | 24 | 2015 |
| Adjusting the Benjamini–Hochberg method for controlling the false discovery rate in knockoff-assisted variable selection SK Sarkar, CY Tang Biometrika 109 (4), 1149-1155, 2022 | 22 | 2022 |
Chenlei Leng (冷琛雷)Professor of Statistics, University of WarwickVerified email at warwick.ac.uk
