| Deep feature screening: Feature selection for ultra high-dimensional data via deep neural networks K Li, F Wang, L Yang, R Liu Neurocomputing 538, 126186, 2023 | 23 | 2023 |
| Calibrating multi-dimensional complex ODE from noisy data via deep neural networks K Li, F Wang, R Liu, F Yang, Z Shang Journal of Statistical Planning and Inference 232, 106147, 2024 | 11 | 2024 |
| Variable selection for nonlinear Cox regression model via deep learning K Li International Journal of Statistics and Probability 12 (1), 21-32, 2023 | 8 | 2023 |
| Semiparametric regression for spatial data via deep learning K Li, J Zhu, AR Ives, VC Radeloff, F Wang Spatial Statistics 57, 100777, 2023 | 6 | 2023 |
| A computationally efficient classification algorithm in posterior drift model: phase transition and minimax adaptivity R Liu, K Li, Z Shang arXiv preprint arXiv:2011.04147, 2020 | 4 | 2020 |
| On the convergence rate of the quasi-to stationary distribution for the Shiryaev-Roberts diffusion K Li, AS Polunchenko Sequential Analysis 39 (2), 214-229, 2020 | 4 | 2020 |
| Analytic evaluation of the fractional moments for the quasi-stationary distribution of the Shiryaev martingale on an interval K Li, AS Polunchenko, A Pepelyshev Communications in Statistics-Simulation and Computation 50 (9), 2705-2720, 2021 | 3 | 2021 |
| Multivariate Rank-Based Analysis of Multiple Endpoints in Clinical Trials: A Global Test Approach K Li, L Yang, S Zhao, S Sinks, L Lin, P Sun Asian Journal of Probability and Statistics 26 (2), 62-75, 2024 | 2 | 2024 |
| Estimation and Hypothesis Testing of Derivatives in Smoothing Spline ANOVA Models R Liu, K Li, M Li arXiv preprint arXiv:2308.13905, 2023 | 2 | 2023 |
| Optimal nonparametric inference under quantization K Li, R Liu, G Xu, Z Shang arXiv preprint arXiv:1901.08571, 2019 | 2 | 2019 |
| Choosing Confidence Intervals in Bioequivalence Studies: 100 (1-2 α)% and 100 (1-α)% Approaches K Li, S Sinks, P Sun, L Yang Asian Journal of Probability and Statistics 26 (1), 25-40, 2024 | | 2024 |
| Nonparametric Inference under B-bits Quantization K Li, R Liu, G Xu, Z Shang Journal of Machine Learning Research 25 (19), 1-68, 2024 | | 2024 |
| Deep Learning for Efficient GWAS Feature Selection K Li arXiv preprint arXiv:2312.15055, 2023 | | 2023 |
| On the Confidence Intervals in Bioequivalence Studies K Li, S Sinks, P Sun, L Yang JSM 2023 Proceedings, 2023 | | 2023 |
| Calibrating multi-dimensional complex ODE from noisy data via deep neural networks (preprint) K Li, F Wang, R Liu, F Yang, Z Shang | | 2021 |
| On the Characteristics of the Generalized Shiryaev {Roberts Procedure for Quickest Change-Point Detection in Continuous Time K Li State University of New York at Binghamton, 2021 | | 2021 |
Ruiqi LiuTexas Tech University在 ttu.edu 的电子邮件经过验证
