Runze Li
Cited by
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Variable selection via nonconcave penalized likelihood and its oracle properties
J Fan, R Li
Journal of the American statistical Association 96 (456), 1348-1360, 2001
Design and modeling for computer experiments
K Fang
CRC Press, 2006
One-step sparse estimates in nonconcave penalized likelihood models
H Zou, R Li
Annals of Statistics 36 (4), 1509, 2008
Tuning parameter selectors for the smoothly clipped absolute deviation method
H Wang, R Li, CL Tsai
Biometrika 94 (3), 553-568, 2007
Sensitivity and specificity of information criteria
JJ Dziak, DL Coffman, ST Lanza, R Li, LS Jermiin
Briefings in bioinformatics 21 (2), 553-565, 2020
Feature screening via distance correlation learning
R Li, W Zhong, L Zhu
Journal of the American Statistical Association 107 (499), 1129-1139, 2012
Variable selection for Cox's proportional hazards model and frailty model
J Fan, R Li
The Annals of Statistics 30 (1), 74-99, 2002
Efficient estimation and inferences for varying-coefficient models
Z Cai, J Fan, R Li
Journal of the American Statistical Association, 888-902, 2000
Variable selection using MM algorithms
DR Hunter, R Li
Annals of statistics 33 (4), 1617, 2005
Statistical challenges with high dimensionality: Feature selection in knowledge discovery
J Fan, R Li
arXiv preprint math/0602133, 2006
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
New estimation and model selection procedures for semiparametric modeling in longitudinal data analysis
J Fan, R Li
Journal of the American Statistical Association 99 (467), 710-723, 2004
Design of experiments with multiple independent variables: a resource management perspective on complete and reduced factorial designs.
LM Collins, JJ Dziak, R Li
Psychological methods 14 (3), 202, 2009
Regularization parameter selections via generalized information criterion
Y Zhang, R Li, CL Tsai
Journal of the American statistical Association 105 (489), 312-323, 2010
Variable selection in semiparametric regression modeling
R Li, H Liang
Annals of statistics 36 (1), 261, 2008
New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models
B Kai, R Li, H Zou
Annals of statistics 39 (1), 305, 2011
Quantile regression for analyzing heterogeneity in ultra-high dimension
L Wang, Y Wu, R Li
Journal of the American Statistical Association 107 (497), 214-222, 2012
A time-varying effect model for intensive longitudinal data.
X Tan, MP Shiyko, R Li, Y Li, L Dierker
Psychological methods 17 (1), 61, 2012
Analysis of longitudinal data with semiparametric estimation of covariance function
J Fan, T Huang, R Li
Journal of the American Statistical Association 102 (478), 632-641, 2007
The Bayesian lasso for genome-wide association studies
J Li, K Das, G Fu, R Li, R Wu
Bioinformatics 27 (4), 516-523, 2011
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