| Robust Rank Correlation Based Screening G Li, H Peng, J Zhang, L Zhu The Annals of Statistics 40 (3), 1846-1877, 2012 | 366 | 2012 |
| Nonconcave penalized M-estimation with a diverging number of parameters G Li, H Peng, L Zhu Statistica Sinica 21 (1), 391-419, 2011 | 123 | 2011 |
| Empirical likelihood for a varying coefficient partially linear model with diverging number of parameters G Li, L Lin, L Zhu Journal of Multivariate Analysis 105, 85-111, 2012 | 66 | 2012 |
| RANK: Large-scale inference with graphical nonlinear knockoffs Y Fan, E Demirkaya, G Li, J Lv Journal of the American Statistical Association, 2019 | 62 | 2019 |
| SIMEX estimation for single-index model with covariate measurement error Y Yang, T Tong, G Li AStA Advances in Statistical Analysis, DOI: 10.1007/s10182-018-0327-6, 2018 | 59 | 2018 |
| Empirical likelihood inference in partially linear single-index models for longitudinal data G Li, L Zhu, L Xue, S Feng Journal of Multivariate Analysis 101 (3), 718-732, 2010 | 52 | 2010 |
| Modern Measurement Error Models G Li, J Zhang, S Feng Beijing: Science Press, 2016 | 51 | 2016 |
| Series expansion for functional sufficient dimension reduction H Lian, G Li Journal of Multivariate Analysis 124, 150-165, 2014 | 50 | 2014 |
| Empirical likelihood confidence region for the parameter in a partially linear errors-in-variables model G Li, L Xue Communications in Statistics—Theory and Methods 37 (10), 1552-1564, 2008 | 50 | 2008 |
| Empirical likelihood inference for semi-parametric varying-coefficient partially linear EV models X Wang, G Li, L Lin Metrika 73, 171-185, 2011 | 47 | 2011 |
| Profile inference on partially linear varying-coefficient errors-in-variables models under restricted condition W Zhang, G Li, L Xue Computational statistics & data analysis 55 (11), 3027-3040, 2011 | 41 | 2011 |
| Variable selection and estimation for partially linear single-index models with longitudinal data G Li, P Lai, H Lian Statistics and Computing 25 (3), 579-593, 2015 | 39 | 2015 |
| Empirical likelihood inference for partially linear panel data models with fixed effects J Zhang, S Feng, G Li, H Lian Economics Letters 113, 165-167, 2011 | 35 | 2011 |
| Quadratic inference functions for partially linear single-index models with longitudinal data P Lai, G Li, H Lian Journal of Multivariate Analysis 118, 115-127, 2013 | 34 | 2013 |
| Nonlinear regression models with general distortion measurement errors J Zhang, B Lin, G Li Journal of Statistical Computation and Simulation 89 (8), 1482-1504, 2019 | 33 | 2019 |
| Simultaneous confidence bands and hypothesis testing for single-index models G Li, H Peng, K Dong, T Tong Statistica Sinica, 937-955, 2014 | 31 | 2014 |
| Generalized empirical likelihood inference in semiparametric regression model for longitudinal data GR Li, P Tian, LG Xue Acta Mathematica Sinica, English Series 24 (12), 2029-2040, 2008 | 31 | 2008 |
| Automatic variable selection for longitudinal generalized linear models G Li, H Lian, S Feng, L Zhu Computational Statistics & Data Analysis 61, 174-186, 2013 | 29 | 2013 |
| Checking the adequacy for a distortion errors-in-variables parametric regression model J Zhang, G Li, Z Feng Computational Statistics & Data Analysis 83, 52-64, 2015 | 28 | 2015 |
| Semi-varying coefficient models with a diverging number of components G Li, L Xue, H Lian Journal of Multivariate Analysis 102 (7), 1166-1174, 2011 | 26 | 2011 |
Heng PengHong Kong Baptist UniversityVerified email at hkbu.edu.hk
