Runze Li
Co-Director of the Center for Statistical Genetics; Eberly Family Chair and Associate Department Head in Statistics
-
326 Thomas
University Park, PA 16802 - ril4@psu.edu
- 814-895-1555
Huck Affiliations
Publication Tags
Screening Covariates Estimator Variable Selection Partially Linear Model Predictors Model Performance High Dimensional Simulation Study Quantile Regression Simulation Sample Size Genes Inference Conditional Distribution Ranking Discriminant Analysis Alachlor Empirical Likelihood Time Higher Dimensions Feature Selection Efficient Estimation LearningMost Recent Papers
Inference in high dimensional linear measurement error models
Mengyan Li, Runze Li, Yanyuan Ma, 2021, Journal of Multivariate Analysis
Folded concave penalized learning of high-dimensional MRI data in Parkinson's disease
Changcheng Li, Xue Wang, Guangwei Du, Hairong Chen, Gregory Brown, Mechelle M. Lewis, Tao Yao, Runze Li, Xuemei Huang, 2021, Journal of Neuroscience Methods
Variable selection for partially linear models via Bayesian subset modeling with diffusing prior
Jia Wang, Xizhen Cai, Runze Li, 2021, Journal of Multivariate Analysis
The association between short-term emotion dynamics and cigarette dependence
Anne Buu, Zhanrui Cai, Runze Li, Su Wei Wong, Hsien Chang Lin, Wei Chung Su, Douglas E. Jorenby, Megan E. Piper, 2021, Drug and Alcohol Dependence
Stable correlation and robust feature screening
Xu Guo, Runze Li, Wanjun Liu, Lixing Zhu, 2021, Science China Mathematics
Covariate Information Number for Feature Screening in Ultrahigh-Dimensional Supervised Problems
Debmalya Nandy, Francesca Chiaromonte, Runze Li, 2021, Journal of the American Statistical Association
Homogeneity structure learning in large-scale panel data with heavy-tailed errors
Di Xiao, Yuan Ke, Runze Li, 2021, Journal of Machine Learning Research
Inference on covariance-mean regression
Tao Zou, Wei Lan, Runze Li, Chih Ling Tsai, 2021, Journal of Econometrics
Comment: Feature Screening and Variable Selection via Iterative Ridge Regression
Jianqing Fan, Runze Li, 2020, Technometrics on p. 434-437
Empirical likelihood test for a large-dimensional mean vector
Xia Cui, Runze Li, Guangren Yang, Wang Zhou, 2020, Biometrika on p. 591-607
Most-Cited Papers
Feature screening via distance correlation learning
Runze Li, Wei Zhong, Liping Zhu, 2012, Journal of the American Statistical Association on p. 1129-1139
Model-free feature screening for ultrahigh-dimensional data
Li Ping Zhu, Lexin Li, Runze Li, Li Xing Zhu, 2011, Journal of the American Statistical Association on p. 1464-1475
New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models
Bo Kai, Runze Li, Hui Zou, 2011, Annals of Statistics on p. 305-332
A time-varying effect model for intensive longitudinal data
Xianming Tan, Mariya P. Shiyko, Runze Li, Yuelin Li, Lisa Dierker, 2012, Psychological Methods on p. 61-77
The Bayesian lasso for genome-wide association studies
Jiahan Li, Kiranmoy Das, Guifang Fu, Runze Li, Rongling Wu, 2011, Bioinformatics on p. 516-523
Quantile regression for analyzing heterogeneity in ultra-high dimension
Lan Wang, Yichao Wu, Runze Li, 2012, Journal of the American Statistical Association on p. 214-222
Feature selection for varying coefficient models with ultrahigh-dimensional covariates
Jingyuan Liu, Runze Li, Rongling Wu, 2014, Journal of the American Statistical Association on p. 266-274
Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis
Hengjian Cui, Runze Li, Wei Zhong, 2015, Journal of the American Statistical Association on p. 630-641
Using the Time-Varying Effect Model (TVEM) to Examine Dynamic Associations between Negative Affect and Self Confidence on Smoking Urges
Mariya P. Shiyko, Stephanie T. Lanza, Xianming Tan, Runze Li, Saul Shiffman, 2012, Prevention Science on p. 288-299
Calibrating nonconvex penalized regression in ultra-high dimension
Lan Wang, Yongdai Kim, Runze Li, 2013, Annals of Statistics on p. 2505-2536