| Isotonic regression in general dimensions Q Han, T Wang, S Chatterjee, RJ Samworth The Annals of Statistics 47 (5), 2440-2471, 2019 | 126 | 2019 |
| Multivariate convex regression: global risk bounds and adaptation Q Han, JA Wellner arXiv preprint arXiv:1601.06844, 2016 | 61 | 2016 |
| Convergence rates of least squares regression estimators with heavy-tailed errors Q Han, JA Wellner The Annals of Statistics 47 (4), 2286-2319, 2019 | 57 | 2019 |
| Approximation and estimation of s-concave densities via Rényi divergences Q Han, JA Wellner The Annals of Statistics 44 (3), 1332, 2016 | 40 | 2016 |
| Universality of regularized regression estimators in high dimensions Q Han, Y Shen The Annals of Statistics 51 (4), 1799-1823, 2023 | 37 | 2023 |
| Complex sampling designs: Uniform limit theorems and applications Q Han, JA Wellner The Annals of Statistics 49 (1), 459-485, 2021 | 28 | 2021 |
| Confidence intervals for multiple isotonic regression and other monotone models H Deng, Q Han, CH Zhang The Annals of Statistics 49 (4), 2021-2052, 2021 | 24 | 2021 |
| Set structured global empirical risk minimizers are rate optimal in general dimensions Q Han The Annals of Statistics 49 (5), 2021 | 23 | 2021 |
| Limit distribution theory for block estimators in multiple isotonic regression Q Han, CH Zhang The Annals of Statistics 48 (6), 3251-3282, 2020 | 21 | 2020 |
| Berry–Esseen bounds for Chernoff-type nonstandard asymptotics in isotonic regression Q Han, K Kato The Annals of Applied Probability 32 (2), 1459-1498, 2022 | 16 | 2022 |
| The distribution of ridgeless least squares interpolators Q Han, X Xu arXiv preprint arXiv:2307.02044, 2023 | 15 | 2023 |
| Robustness of shape-restricted regression estimators: An envelope perspective Q Han, JA Wellner arXiv preprint arXiv:1805.02542, 2018 | 12 | 2018 |
| Generalized kernel distance covariance in high dimensions: non-null CLTs and power universality Q Han, Y Shen Information and Inference: A Journal of the IMA 13 (3), iaae017, 2024 | 10 | 2024 |
| Inference for local parameters in convexity constrained models H Deng, Q Han, B Sen Journal of the American Statistical Association 118 (544), 2721-2735, 2023 | 10 | 2023 |
| A sharp multiplier inequality with applications to heavy-tailed regression problems Q Han, JA Wellner arXiv preprint arXiv:1706.02410, 2017 | 10 | 2017 |
| Relative density and exact recovery in heterogeneous stochastic block models A Jalali, Q Han, I Dumitriu, M Fazel arXiv preprint arXiv:1512.04937, 2015 | 9 | 2015 |
| Noisy linear inverse problems under convex constraints: Exact risk asymptotics in high dimensions Q Han The Annals of Statistics 51 (4), 1611-1638, 2023 | 8 | 2023 |
| On a phase transition in general order spline regression Y Shen, Q Han, F Han IEEE Transactions on Information Theory 68 (6), 4043-4069, 2022 | 8 | 2022 |
| Exploiting tradeoffs for exact recovery in heterogeneous stochastic block models A Jalali, Q Han, I Dumitriu, M Fazel Advances in Neural Information Processing Systems 29, 2016 | 8 | 2016 |
| A leave-one-out approach to approximate message passing Z Bao, Q Han, X Xu arXiv preprint arXiv:2312.05911, 2023 | 7 | 2023 |
