| Deep learning for the partially linear Cox model Q Zhong, J Mueller, JL Wang The Annals of Statistics 50 (3), 1348-1375, 2022 | 45 | 2022 |
| Deep extended hazard models for survival analysis Q Zhong, JW Mueller, JL Wang Advances in Neural Information Processing Systems 34, 15111-15124, 2021 | 28 | 2021 |
| Basis expansions for functional snippets Z Lin, JL Wang, Q Zhong Biometrika 108 (3), 709-726, 2021 | 17 | 2021 |
| Neural networks for partially linear quantile regression Q Zhong, JL Wang Journal of Business & Economic Statistics 42 (2), 603--614, 2023 | 14 | 2023 |
| frechet: statistical analysis for random objects and non-Euclidean data Y Chen, A Gajardo, J Fan, Q Zhong, P Dubey, K Han, S Bhattacharjee, ... R package version 0.2. 0, 2020 | 12 | 2020 |
| A new approach to varying-coefficient additive models with longitudinal covariates X Zhang, Q Zhong, JL Wang Computational Statistics & Data Analysis 145, 106912, 2020 | 7 | 2020 |
| Dynamic modeling for multivariate functional and longitudinal data S Hao, SC Lin, JL Wang, Q Zhong Journal of Econometrics 239 (2), 105573, 2024 | 1 | 2024 |
| Supplement to “Deep learning for the partially linear Cox model.” Q ZHONG, J MUELLER, JL WANG | 1 | 2022 |
Jane-Ling WangDistinguished Professor of Statistics在 ucdavis.edu 的电子邮件经过验证
