| A direct approach to sparse discriminant analysis in ultra-high dimensions Q Mai, H Zou, M Yuan Biometrika 99 (1), 29-42, 2012 | 239 | 2012 |
| The Kolmogorov filter for variable screening in high-dimensional binary classification Q Mai, H Zou Biometrika 100 (1), 229-234, 2013 | 160 | 2013 |
| The fused Kolmogorov filter: A nonparametric model-free screening method Q Mai, H Zou | 130 | 2015 |
| Multiclass sparse discriminant analysis Q Mai, Y Yang, H Zou Statistica Sinica 29 (1), 97-111, 2019 | 76 | 2019 |
| A review of discriminant analysis in high dimensions Q Mai Wiley Interdisciplinary Reviews: Computational Statistics 5 (3), 190-197, 2013 | 58 | 2013 |
| Covariate-adjusted tensor classification in high dimensions Y Pan, Q Mai, X Zhang Journal of the American statistical association, 2018 | 56 | 2018 |
| An iterative penalized least squares approach to sparse canonical correlation analysis Q Mai, X Zhang Biometrics 75 (3), 734-744, 2019 | 42 | 2019 |
| Sparse semiparametric discriminant analysis Q Mai, H Zou Journal of Multivariate Analysis 135, 175-188, 2015 | 41* | 2015 |
| A note on the connection and equivalence of three sparse linear discriminant analysis methods Q Mai, H Zou Technometrics 55 (2), 243-246, 2013 | 32 | 2013 |
| A doubly enhanced em algorithm for model-based tensor clustering Q Mai, X Zhang, Y Pan, K Deng Journal of the American Statistical Association 117 (540), 2120-2134, 2022 | 31 | 2022 |
| Model-free envelope dimension selection X Zhang, Q Mai | 23 | 2018 |
| Efficient integration of sufficient dimension reduction and prediction in discriminant analysis X Zhang, Q Mai Technometrics, 2018 | 20 | 2018 |
| Subspace estimation with automatic dimension and variable selection in sufficient dimension reduction J Zeng, Q Mai, X Zhang Journal of the American Statistical Association 119 (545), 343-355, 2024 | 11 | 2024 |
| Fast and separable estimation in high-dimensional tensor Gaussian graphical models K Min, Q Mai, X Zhang Journal of Computational and Graphical Statistics 31 (1), 294-300, 2022 | 10 | 2022 |
| Nonparametric variable transformation in sufficient dimension reduction Q Mai, H Zou Technometrics 57 (1), 1-10, 2015 | 9 | 2015 |
| The maximum separation subspace in sufficient dimension reduction with categorical response X Zhang, Q Mai, H Zou Journal of Machine Learning Research 21 (29), 1-36, 2020 | 8 | 2020 |
| Coordinatewise gaussianization: Theories and applications Q Mai, D He, H Zou Journal of the American Statistical Association 118 (544), 2329-2343, 2023 | 6 | 2023 |
| Efficient computation for differential network analysis with applications to quadratic discriminant analysis Y Pan, Q Mai Computational Statistics & Data Analysis 144, 106884, 2020 | 6 | 2020 |
| TULIP: a toolbox for linear discriminant analysis with penalties Y Pan, Q Mai, X Zhang arXiv preprint arXiv:1904.03469, 2019 | 6 | 2019 |
| Envelopes and principal component regression X Zhang, K Deng, Q Mai Electronic Journal of Statistics 17 (2), 2447-2484, 2023 | 5 | 2023 |
Hui ZouUniversity of MinnesotaVerified email at umn.edu
