| Optimal subsampling algorithms for big data regressions M Ai, J Yu, H Zhang, HY Wang Statistica Sinica 31 (2), 749-772, 2021 | 107* | 2021 |
| Optimal distributed subsampling for maximum quasi-likelihood estimators with massive data J Yu, HY Wang, M Ai, H Zhang Journal of the American Statistical Association 117 (537), 256-276, 2022 | 88 | 2022 |
| Concentration inequalities for statistical inference H Zhang, SX Chen Communications in Mathematical Research 37 (1), 1-85, 2021 | 63 | 2021 |
| Notes on discrete compound Poisson model with applications to risk theory H Zhang, Y Liu, B Li Insurance: Mathematics and Economics 59, 325-336, 2014 | 58 | 2014 |
| Optimal subsampling for large-scale quantile regression M Ai, F Wang, J Yu, H Zhang Journal of Complexity, 101512, 2021 | 44 | 2021 |
| Elastic-net regularized high-dimensional negative binomial regression: consistency and weak signals detection H Zhang, J Jia Statistica Sinica 32 (1), 181-207, 2022 | 27 | 2022 |
| Characterizations of Discrete Compound Poisson Distributions H Zhang, B Li Communications in Statistics - Theory and Methods 45 (22), 6789-6802, 2016 | 27 | 2016 |
| Sharper Sub-Weibull Concentrations H Zhang, H Wei Mathematics 10 (3), 2252, 2022 | 24 | 2022 |
| COM-negative binomial distribution: modeling overdispersion and ultrahigh zero-inflated count data H Zhang, K Tan, B Li Frontiers of Mathematics in China 13 (4), 967-998, 2018 | 14 | 2018 |
| Weighted Lasso estimates for sparse logistic regression: non-asymptotic properties with measurement errors H Huang, Y Gao, H Zhang, B Li Acta Mathematica Scientia 41 (1), 207-230, 2021 | 13 | 2021 |
| Some characterizations and properties of COM-Poisson random variables B Li, H Zhang, J He Communications in Statistics-Theory and Methods 49 (6), 1311-1329, 2020 | 13 | 2020 |
| Asymptotic Theory for Differentially Private Generalized -models with Parameters Increasing Y Fan, H Zhang, T Yan Statistics and Its Interface 13 (3), 385-398, 2020 | 13 | 2020 |
| Growing-dimensional Partially Functional Linear Models: Non-asymptotic Optimal Prediction Error H Zhang, X Lei Physica Scripta, 2023 | 10* | 2023 |
| Functional Linear Regression for Discretely Observed Data: From Ideal to Reality H Zhou, F Yao, H Zhang Biometrika 110 (2), 381–393, 2023 | 9 | 2023 |
| Some Properties of the Generalized Stuttering Poisson Distribution and Its Applications H Zhang, L Chu, Y Diao Studies in Mathematical Sciences 5 (1), 11-26, 2012 | 9 | 2012 |
| On nonnegative integer-valued Lévy processes and applications in probabilistic number theory and inventory policies H Zhang, J He, H Huang American Journal of Theoretical and Applied Statistics 2 (5), 110-121, 2013 | 8 | 2013 |
| Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption L Xu, F Yao, Q Yao, H Zhang Journal of Machine Learning Research, 2023 | 5* | 2023 |
| Directional FDR Control for Sub-Gaussian Sparse GLMs C Cui, J Jia, Y Xiao, H Zhang arXiv e-prints, arXiv: 2105.00393, 2021 | 5 | 2021 |
| A characterization of signed discrete infinitely divisible distributions H Zhang, B Li, K G. Jay Studia Scientiarum Mathematicarum Hungarica 54 (4), 446–470, 2017 | 5 | 2017 |
| Oracle inequalities for weighted group lasso in high-dimensional misspecified Cox models Y Xiao, T Yan, H Zhang, Y Zhang Journal of Inequalities and Applications 2020 (1), 1-33, 2020 | 4 | 2020 |
Jun YuAssistant professor of School of Mathematics and Statistics, Beijing Institute of Technol- ogyVerified email at bit.edu.cn
