| JuliaCall: an R package for seamless integration between R and Julia C Li Journal of Open Source Software 4 (35), 1284, 2019 | 16 | 2019 |
| Linear hypothesis testing in linear models with high-dimensional responses CL Runze Li Journal of the American Statistical Association 117 (540), 1738-1750, 2022 | 9 | 2022 |
| An overview of tests on high-dimensional means Y Huang, C Li, R Li, S Yang Journal of multivariate analysis 188, 104813, 2022 | 8 | 2022 |
| Asset splitting algorithm for ultrahigh dimensional portfolio selection and its theoretical property Z Cai, C Li, J Wen, S Yang Journal of Econometrics, 105291, 2022 | 7 | 2022 |
| Regularized linear programming discriminant rule with folded concave penalty for ultrahigh-dimensional data C Li, R Li, J Wen, S Yang, X Zhan Journal of Computational and Graphical Statistics 32 (3), 1074-1082, 2023 | 4 | 2023 |
| Probabilistic HIV recency classification—a logistic regression without labeled individual level training data B Sheng, C Li, L Bao, R Li The annals of applied statistics 17 (1), 108, 2023 | 2 | 2023 |
| Folded concave penalized learning of high-dimensional MRI data in Parkinson’s disease C Li, X Wang, G Du, H Chen, G Brown, MM Lewis, T Yao, R Li, X Huang Journal of neuroscience methods 357, 109157, 2021 | 1 | 2021 |
| Spectral Properties of Rescaled Sample Correlation Matrices Y Yin, C Li, GL Tian, S Zheng Statistica Sinica (to appear), 0 | 1 | |
| Causal Structural Learning on MPHIA Individual Dataset L Bao, C Li, R Li, S Yang Journal of the American Statistical Association 117 (540), 1642-1655, 2022 | | 2022 |
| Topics in High-Dimensional Statistical Inference C Li The Pennsylvania State University, 2019 | | 2019 |
| Supplementary Material of “Regularized Linear Programming Discriminant Rule with Folded Concave Penalty for Ultrahigh-dimensional Data” C Li, R Li, J Wen, S Yang, X Zhan | | |
