| Coordinate-independent sparse sufficient dimension reduction and variable selection X Chen, C Zou, RD Cook | 159 | 2010 |
| Sparse envelope model: efficient estimation and response variable selection in multivariate linear regression Z Su, G Zhu, X Chen, Y Yang Biometrika 103 (3), 579-593, 2016 | 57 | 2016 |
| Diagnostic studies in sufficient dimension reduction X Chen, RD Cook, C Zou Biometrika 102 (3), 545-558, 2015 | 16 | 2015 |
| Robust sufficient dimension reduction via ball covariance J Zhang, X Chen Computational statistics & data analysis 140, 144-154, 2019 | 15 | 2019 |
| Efficient sparse estimate of sufficient dimension reduction in high dimension X Chen, W Sheng, X Yin Technometrics 60 (2), 161-168, 2018 | 11 | 2018 |
| Containing acute disease outbreak A Prince, X Chen, KC Lun Methods of Information in Medicine 44 (05), 603-608, 2005 | 8 | 2005 |
| Principal envelope model J Zhang, X Chen Journal of Statistical Planning and Inference 206, 249-262, 2020 | 7 | 2020 |
| Kernel density regression X Chen, X Ma, W Zhou Journal of Statistical Planning and Inference 205, 318-329, 2020 | 7 | 2020 |
| On the consistency of coordinate-independent sparse estimation with BIC C Zou, X Chen Journal of Multivariate Analysis 112, 248-255, 2012 | 7 | 2012 |
| Some insights into continuum regression and its asymptotic properties X Chen, RD Cook Biometrika 97 (4), 985-989, 2010 | 7 | 2010 |
| High-dimensional elliptical sliced inverse regression in non-Gaussian distributions X Chen, J Zhang, W Zhou Journal of Business & Economic Statistics 40 (3), 1204-1215, 2022 | 5 | 2022 |
| MM algorithms for distance covariance based sufficient dimension reduction and sufficient variable selection R Wu, X Chen Computational statistics & data analysis 155, 107089, 2021 | 5 | 2021 |
| Connecting continuum regression with sufficient dimension reduction X Chen, LP Zhu Statistics & Probability Letters 98, 44-49, 2015 | 3 | 2015 |
| Fast robust feature screening for ultrahigh-dimensional varying coefficient models X Ma, X Chen, J Zhang Journal of Statistical Computation and Simulation 87 (4), 724-732, 2017 | 2 | 2017 |
| Differentially private sliced inverse regression in the federated paradigm S He, J Zhang, X Chen arXiv preprint arXiv:2306.06324, 2023 | 1 | 2023 |
| Sparse Sliced Inverse Regression via Random Projection J Zhang, R Wu, X Chen arXiv preprint arXiv:2305.05141, 2023 | 1 | 2023 |
| Sufficient Dimension Reduction for Classification X Chen, J Wu, Z Yao, J Zhang arXiv preprint arXiv:1812.03775, 2018 | 1 | 2018 |
| Adaptive model-free sure independence screening C Wen, S Zhu, X Chen, X Wang Statistics and Its Interface 10 (3), 399-406, 2017 | 1 | 2017 |
| Large-scale metric objects filtering for binary classification with application to abnormal brain connectivity detection S He, J Li, X Chen arXiv preprint arXiv:2403.12624, 2024 | | 2024 |
| High-Dimensional Sparse Single-Index Regression Via Hilbert-Schmidt Independence Criterion R Wu, C Deng, X Chen arXiv preprint arXiv:2105.08230, 2021 | | 2021 |
Changliang ZouProfessor of Statistics, Nankai UniversityVerified email at nankai.edu.cn
