Runze Li

Co-Director of the Center for Statistical Genetics; Eberly Family Chair and Associate Department Head in Statistics

Runze Li

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 Learning

Most 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