| High-dimensional mixed graphical model with ordinal data: Parameter estimation and statistical inference H Feng, Y Ning The 22nd international conference on artificial intelligence and statistics …, 2019 | 27 | 2019 |
| Regularized training and tight certification for randomized smoothed classifier with provable robustness H Feng, C Wu, G Chen, W Zhang, Y Ning Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3858-3865, 2020 | 13 | 2020 |
| Nonregular and minimax estimation of individualized thresholds in high dimension with binary responses H Feng, Y Ning, J Zhao The Annals of Statistics 50 (4), 2284-2305, 2022 | 7 | 2022 |
| Inference in high-dimensional multivariate response regression with hidden variables X Bing, W Cheng, H Feng, Y Ning Journal of the American Statistical Association, 1-12, 2023 | 5 | 2023 |
| Test of Significance for High-Dimensional Thresholds with Application to Individualized Minimal Clinically Important Difference H Feng, J Duan, Y Ning, J Zhao Journal of the American Statistical Association, 1-13, 2023 | 1 | 2023 |
| ESTIMATION AND INFERENCE OF HIGH-DIMENSIONAL INDIVIDUALIZED THRESHOLD WITH BINARY RESPONSES H Feng | | 2021 |
| Supplementary Materials to “Mixed Graphical Model with Ordinal Data: Parameter Estimation and Statistical Inference” H Feng, Y Ning | | |
Yang NingCornell UniversityПодтвержден адрес электронной почты в домене cornell.edu
