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YUEXIAO DONG
Title
Cited by
Cited by
Year
Dimension reduction for nonelliptically distributed predictors
B Li, Y Dong
1492009
Dimension reduction for non-elliptically distributed predictors: second-order methods
Y Dong, B Li
Biometrika 97 (2), 279-294, 2010
992010
Toward further understanding the market‐sensing capability–value creation relationship
N Bharadwaj, Y Dong
Journal of Product Innovation Management 31 (4), 799-813, 2014
692014
On marginal sliced inverse regression for ultrahigh dimensional model-free feature selection
Z Yu, Y Dong, J Shao
322016
Predicting innovation success in the motion picture industry: The influence of multiple quality signals
N Bharadwaj, CH Noble, A Tower, LM Smith, Y Dong
Journal of Product Innovation Management 34 (5), 659-680, 2017
312017
Trace pursuit: A general framework for model-free variable selection
Z Yu, Y Dong, LX Zhu
Journal of the American Statistical Association 111 (514), 813-821, 2016
292016
Semiparametric estimation of conditional heteroscedasticity via single-index modeling
L Zhu, Y Dong, R Li
Statistica Sinica 23 (3), 1215, 2013
242013
Robust inverse regression for dimension reduction
Y Dong, Z Yu, L Zhu
Journal of Multivariate Analysis 134, 71-81, 2015
232015
Sufficient dimension reduction via principal L support vector machine
A Artemiou, Y Dong
222016
A brief review of linear sufficient dimension reduction through optimization
Y Dong
Journal of Statistical Planning and Inference 211, 154-161, 2021
202021
Real-time sufficient dimension reduction through principal least squares support vector machines
A Artemiou, Y Dong, SJ Shin
Pattern Recognition 112, 107768, 2021
152021
Sparse representation classification beyond ℓ1 minimization and the subspace assumption
C Shen, L Chen, Y Dong, CE Priebe
IEEE Transactions on Information Theory 66 (8), 5061-5071, 2020
152020
High-dimensional interactions detection with sparse principal hessian matrix
CY Tang, EX Fang, Y Dong
Journal of Machine Learning Research 21 (19), 1-25, 2020
152020
Model-free coordinate test and variable selection via directional regression
Z Yu, Y Dong
Statistica Sinica, 1159-1174, 2016
152016
General directional regression
Z Yu, Y Dong, M Huang
Journal of Multivariate Analysis 124, 94-104, 2014
82014
On sufficient dimension reduction via principal asymmetric least squares
AN Soale, Y Dong
Journal of Nonparametric Statistics 34 (1), 77-94, 2022
72022
On permutation tests for predictor contribution in sufficient dimension reduction
Y Dong, C Yang, Z Yu
Journal of Multivariate Analysis 149, 81-91, 2016
72016
On sufficient dimension reduction with missing responses through estimating equations
Y Dong, Q Xia, CY Tang, Z Li
Computational Statistics & Data Analysis 126, 67-77, 2018
62018
Construction of uniform designs and complex-structured uniform designs via partitionable t-designs
H Huang, H Yu, MQ Liu, D Wu
Statistica Sinica 31 (4), 1689-1706, 2021
52021
Cluster-based least absolute deviation regression for dimension reduction
Y Dong, C Yang
Journal of Statistical Theory and Practice 10, 121-132, 2016
52016
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Articles 1–20