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Liping Zhu
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Year
Feature screening via distance correlation learning
R Li, W Zhong, L Zhu
Journal of the American Statistical Association 107 (499), 1129-1139, 2012
7852012
Model-free feature screening for ultrahigh-dimensional data
LP Zhu, L Li, R Li, LX Zhu
Journal of the American Statistical Association 106 (496), 1464-1475, 2011
5142011
A review on dimension reduction
Y Ma, L Zhu
International Statistical Review 81 (1), 134-150, 2013
2362013
A semiparametric approach to dimension reduction
Y Ma, L Zhu
Journal of the American Statistical Association 107 (497), 168-179, 2012
2352012
Dimension reduction in regressions through cumulative slicing estimation
LP Zhu, LX Zhu, ZH Feng
Journal of the American Statistical Association 105 (492), 1455-1466, 2010
1882010
Efficient estimation in sufficient dimension reduction
Y Ma, L Zhu
Annals of statistics 41 (1), 250, 2013
1342013
Sufficient dimension reduction through discretization-expectation estimation
L Zhu, T Wang, L Zhu, L Ferré
Biometrika 97 (2), 295-304, 2010
1252010
Projection correlation between two random vectors
L Zhu, K Xu, R Li, W Zhong
Biometrika 104 (4), 829-843, 2017
872017
On kernel method for sliced average variance estimation
LP Zhu, LX Zhu
Journal of Multivariate Analysis 98 (5), 970-991, 2007
702007
An iterative approach to distance correlation-based sure independence screening
W Zhong, L Zhu
Journal of Statistical Computation and Simulation 85 (11), 2331-2345, 2015
612015
On estimation efficiency of the central mean subspace
Y Ma, L Zhu
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2014
602014
Nonconcave penalized inverse regression in single-index models with high dimensional predictors
LP Zhu, LX Zhu
Journal of Multivariate Analysis 100 (5), 862-875, 2009
582009
Doubly robust and efficient estimators for heteroscedastic partially linear single‐index models allowing high dimensional covariates
Y Ma, L Zhu
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2013
552013
Semiparametric quantile regression with high-dimensional covariates
L Zhu, M Huang, R Li
Statistica Sinica 22 (4), 1379, 2012
492012
On distribution‐weighted partial least squares with diverging number of highly correlated predictors
LP Zhu, LX Zhu
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2009
492009
Efficiency loss and the linearity condition in dimension reduction
Y Ma, L Zhu
Biometrika 100 (2), 371-383, 2013
472013
Efficiency loss caused by linearity condition in dimension reduction
Y Ma, L Zhu
Biometrika 99 (1), 1-13, 2012
47*2012
Regularized Quantile Regression and Robust Feature Screening for Single Index Models.
W Zhong, L Zhu, R Li, H Cui
Statistica Sinica 26 (1), 69-95, 2016
412016
Model-free feature screening for ultrahigh dimensional censored regression
T Zhou, L Zhu
Statistics and Computing 27 (4), 947-961, 2017
392017
Dimension reduction for conditional variance in regressions
LP Zhu, LX Zhu
Statistica Sinica, 869-883, 2009
392009
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