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Qing Mai
Qing Mai
Verified email at stat.fsu.edu - Homepage
Title
Cited by
Cited by
Year
A direct approach to sparse discriminant analysis in ultra-high dimensions
Q Mai, H Zou, M Yuan
Biometrika 99 (1), 29-42, 2012
2392012
The Kolmogorov filter for variable screening in high-dimensional binary classification
Q Mai, H Zou
Biometrika 100 (1), 229-234, 2013
1622013
The fused Kolmogorov filter: A nonparametric model-free screening method
Q Mai, H Zou
1312015
Multiclass sparse discriminant analysis
Q Mai, Y Yang, H Zou
Statistica Sinica 29 (1), 97-111, 2019
762019
A review of discriminant analysis in high dimensions
Q Mai
Wiley Interdisciplinary Reviews: Computational Statistics 5 (3), 190-197, 2013
602013
Covariate-adjusted tensor classification in high dimensions
Y Pan, Q Mai, X Zhang
Journal of the American statistical association, 2018
582018
An iterative penalized least squares approach to sparse canonical correlation analysis
Q Mai, X Zhang
Biometrics 75 (3), 734-744, 2019
432019
Sparse semiparametric discriminant analysis
Q Mai, H Zou
Journal of Multivariate Analysis 135, 175-188, 2015
42*2015
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
362022
A note on the connection and equivalence of three sparse linear discriminant analysis methods
Q Mai, H Zou
Technometrics 55 (2), 243-246, 2013
322013
Model-free envelope dimension selection
X Zhang, Q Mai
232018
Efficient integration of sufficient dimension reduction and prediction in discriminant analysis
X Zhang, Q Mai
Technometrics, 2018
212018
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
122024
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
112022
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
92020
Nonparametric variable transformation in sufficient dimension reduction
Q Mai, H Zou
Technometrics 57 (1), 1-10, 2015
92015
Coordinatewise gaussianization: Theories and applications
Q Mai, D He, H Zou
Journal of the American Statistical Association 118 (544), 2329-2343, 2023
62023
Efficient computation for differential network analysis with applications to quadratic discriminant analysis
Y Pan, Q Mai
Computational Statistics & Data Analysis 144, 106884, 2020
62020
TULIP: a toolbox for linear discriminant analysis with penalties
Y Pan, Q Mai, X Zhang
arXiv preprint arXiv:1904.03469, 2019
62019
Envelopes and principal component regression
X Zhang, K Deng, Q Mai
Electronic Journal of Statistics 17 (2), 2447-2484, 2023
52023
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Articles 1–20