Dimension reduction for nonelliptically distributed predictors B Li, Y Dong
148 2009 Dimension reduction for non-elliptically distributed predictors: second-order methods Y Dong, B Li
Biometrika 97 (2), 279-294, 2010
97 2010 Toward further understanding the market‐sensing capability–value creation relationship N Bharadwaj, Y Dong
Journal of Product Innovation Management 31 (4), 799-813, 2014
69 2014 On marginal sliced inverse regression for ultrahigh dimensional model-free feature selection Z Yu, Y Dong, J Shao
32 2016 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
29 2016 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
27 2017 Semiparametric estimation of conditional heteroscedasticity via single-index modeling L Zhu, Y Dong, R Li
Statistica Sinica 23 (3), 1215, 2013
24 2013 Robust inverse regression for dimension reduction Y Dong, Z Yu, L Zhu
Journal of Multivariate Analysis 134, 71-81, 2015
23 2015 Sufficient dimension reduction via principal L support vector machine A Artemiou, Y Dong
22 2016 A brief review of linear sufficient dimension reduction through optimization Y Dong
Journal of Statistical Planning and Inference 211, 154-161, 2021
19 2021 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
15 2020 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
15 2020 Model-free coordinate test and variable selection via directional regression Z Yu, Y Dong
Statistica Sinica, 1159-1174, 2016
15 2016 Real-time sufficient dimension reduction through principal least squares support vector machines A Artemiou, Y Dong, SJ Shin
Pattern Recognition 112, 107768, 2021
14 2021 General directional regression Z Yu, Y Dong, M Huang
Journal of Multivariate Analysis 124, 94-104, 2014
8 2014 On sufficient dimension reduction via principal asymmetric least squares AN Soale, Y Dong
Journal of Nonparametric Statistics 34 (1), 77-94, 2022
7 2022 On permutation tests for predictor contribution in sufficient dimension reduction Y Dong, C Yang, Z Yu
Journal of Multivariate Analysis 149, 81-91, 2016
7 2016 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
6 2018 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
5 2021 A note on moment-based sufficient dimension reduction estimators Y Dong
Statistics and Its Interface 9 (2), 141-145, 2016
5 2016