| Feature Screening via Distance Correlation Learning R Li, W Zhong, L Zhu Journal of American Statistical Association 107, 1129-1139, 2012 | 846 | 2012 |
| Model-free feature screening for ultrahigh dimensional discriminant analysis H Cui, R Li, W Zhong Journal of the American Statistical Association 110 (510), 630-641, 2015 | 257 | 2015 |
| Assessing mediation using marginal structural models in the presence of confounding and moderation. DL Coffman, W Zhong Psychological methods 17 (4), 642, 2012 | 107 | 2012 |
| Projection correlation between two random vectors L Zhu, K Xu, R Li, W Zhong Biometrika 104 (4), 829-843, 2017 | 106 | 2017 |
| A selective overview of feature screening for ultrahigh-dimensional data JY Liu, W Zhong, RZ Li Science China Mathematics 58, 1-22, 2015 | 97 | 2015 |
| An iterative approach to distance correlation-based sure independence screening W Zhong, L Zhu Journal of Statistical Computation and Simulation 85 (11), 2331-2345, 2015 | 68 | 2015 |
| Regularized quantile regression and robust feature screening for single index models W Zhong, L Zhu, R Li, H Cui Statistica Sinica 26 (1), 69, 2016 | 46 | 2016 |
| A fast algorithm for detecting gene–gene interactions in genome-wide association studies J Li, W Zhong, R Li, R Wu The annals of applied statistics 8 (4), 2292, 2014 | 44 | 2014 |
| Estimation and inference for multi-kink quantile regression W Zhong, C Wan, W Zhang Journal of Business & Economic Statistics 40 (3), 1123-1139, 2022 | 38 | 2022 |
| Test for high-dimensional regression coefficients using refitted cross-validation variance estimation H Cui, W Guo, W Zhong | 38 | 2018 |
| Multikink quantile regression for longitudinal data with application to progesterone data analysis C Wan, W Zhong, W Zhang, C Zou Biometrics 79 (2), 747-760, 2023 | 33 | 2023 |
| Nonparametric additive instrumental variable estimator: A group shrinkage estimation perspective Q Fan, W Zhong Journal of Business & Economic Statistics 36 (3), 388-399, 2018 | 32 | 2018 |
| A distribution-free test of independence based on mean variance index H Cui, W Zhong Computational Statistics & Data Analysis 139, 117-133, 2019 | 22 | 2019 |
| Composite coefficient of determination and its application in ultrahigh dimensional variable screening E Kong, Y Xia, W Zhong Journal of the American Statistical Association, 2019 | 19 | 2019 |
| Projection test for mean vector in high dimensions W Liu, X Yu, W Zhong, R Li Journal of the American Statistical Association 119 (545), 744-756, 2024 | 11 | 2024 |
| Estimation and inference on central mean subspace for multivariate response data L Zhu, W Zhong Computational Statistics & Data Analysis 92, 68-83, 2015 | 11 | 2015 |
| Conditional test for ultrahigh dimensional linear regression coefficients W Guo, W Zhong, S Duan, H Cui Statistica Sinica 32 (3), 1381-1409, 2022 | 9 | 2022 |
| Censored Mean Variance Sure Independence Screening for Ultra-high Dimensional Survival Data JWXC Wei Zhong Computational Statistics & Data Analysis 159, 107206, 2021 | 9 | 2021 |
| Robust sure independence screening for ultrahigh dimensional non-normal data W Zhong Acta Mathematica Sinica, English Series 30 (11), 1885-1896, 2014 | 9 | 2014 |
| A Multi-Kink quantile regression model with common structure for panel data analysis Y Sun, C Wan, W Zhang, W Zhong Journal of Econometrics 239 (2), 105304, 2024 | 8 | 2024 |
Runze Li, Eberly Family Chair in Statis...Department of Statistics, Penn State UnviersityBestätigte E-Mail-Adresse bei psu.edu
