Dimension reduction for nonelliptically distributed predictors B Li, Y Dong
156 2009 Dimension reduction for non-elliptically distributed predictors: second-order methods Y Dong, B Li
Biometrika 97 (2), 279-294, 2010
103 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
71 2014 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
38 2017 On marginal sliced inverse regression for ultrahigh dimensional model-free feature selection Z Yu, Y Dong, J Shao
34 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
30 2016 Robust inverse regression for dimension reduction Y Dong, Z Yu, L Zhu
Journal of Multivariate Analysis 134, 71-81, 2015
25 2015 Semiparametric estimation of conditional heteroscedasticity via single-index modeling L Zhu, Y Dong, R Li
Statistica Sinica 23 (3), 1215, 2013
25 2013 Sufficient dimension reduction via principal L A Artemiou, Y Dong
24 2016 Real-time sufficient dimension reduction through principal least squares support vector machines A Artemiou, Y Dong, SJ Shin
Pattern Recognition 112, 107768, 2021
20 2021 A brief review of linear sufficient dimension reduction through optimization Y Dong
Journal of Statistical Planning and Inference 211, 154-161, 2021
20 2021 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
17 2020 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 Model-free coordinate test and variable selection via directional regression Z Yu, Y Dong
Statistica Sinica, 1159-1174, 2016
15 2016 On sufficient dimension reduction via principal asymmetric least squares AN Soale, Y Dong
Journal of Nonparametric Statistics 34 (1), 77-94, 2022
8 2022 General directional regression Z Yu, Y Dong, M Huang
Journal of Multivariate Analysis 124, 94-104, 2014
8 2014 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 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
6 2021 On expectile-assisted inverse regression estimation for sufficient dimension reduction AN Soale, Y Dong
Journal of Statistical Planning and Inference 213, 80-92, 2021
5 2021 High-dimensional independence testing via maximum and average distance correlations C Shen, Y Dong
arXiv preprint arXiv:2001.01095, 2020
5 2020 
Bing LiProfessor of Statistics, Pennsylvania State UniversityVerifisert e-postadresse på stat.psu.edu