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 High Dimensional Estimator Testing Regression Model Performance Covariates Statistical Inference Sample Size Feature Selection Nonparametric Regression Model High Dimensional Data Monte Carlo Simulation Estimate Neural Networks Data Streams Discriminant Analysis Multivariate Tests Varying Coefficient Model Approximation Algorithms Surveillance Longitudinal Data Simulation Study Data Analysis

Most Recent Publications

Projection test with sparse optimal direction for high-dimensional one-sample mean problem

Wanjun Liu, Runze Li, on p. 295-309

Estimation and inference for the mediation effect in a time-varying mediation model

Xizhen Cai, Donna L. Coffman, Megan E. Piper, Runze Li, 2022, BMC Medical Research Methodology

Causal discoveries for high dimensional mixed data

Zhanrui Cai, Dong Xi, Xuan Zhu, Runze Li, 2022, Statistics in Medicine on p. 4924-4940

The situational contexts and subjective effects of co-use of electronic cigarettes and alcohol among college students: An ecological momentary assessment (EMA) study

James J. Yang, Hsien Chang Lin, Tzung Shiang Ou, Zhaoxue Tong, Runze Li, Megan E. Piper, Anne Buu, 2022, Drug and Alcohol Dependence

Inference on covariance-mean regression

Tao Zou, Wei Lan, Runze Li, Chih Ling Tsai, 2022, Journal of Econometrics on p. 318-338

大规模数据分析中基于外推的调节参数选取

Haojie Ren, Changliang Zou, Runze Li, 2022, Scientia Sinica Mathematica on p. 689-708

Projection-based High-dimensional Sign Test

Hui Chen, Chang Liang Zou, Run Ze Li, 2022, Acta Mathematica Sinica, English Series on p. 683-708

An overview of tests on high-dimensional means

Yuan Huang, Changcheng Li, Runze Li, Songshan Yang, 2022, Journal of Multivariate Analysis

Local Linear Approximation Algorithm for Neural Network

Mudong Zeng, Yujie Liao, Runze Li, Agus Sudjianto, 2022, Mathematics

Large-Scale Datastreams Surveillance via Pattern-Oriented-Sampling

Haojie Ren, Changliang Zou, Nan Chen, Runze Li, 2022, Journal of the American Statistical Association on p. 794-808

Most-Cited Papers

Sensitivity and specificity of information criteria

John J. Dziak, Donna L. Coffman, Stephanie T. Lanza, Runze Li, Lars S. Jermiin, 2020, Briefings in Bioinformatics on p. 553-565

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

Calibrating nonconvex penalized regression in ultra-high dimension

Lan Wang, Yongdai Kim, Runze Li, 2013, Annals of Statistics on p. 2505-2536

A High-Dimensional Nonparametric Multivariate Test for Mean Vector

Lan Wang, Bo Peng, Runze Li, 2015, Journal of the American Statistical Association on p. 1658-1669

Advancing the understanding of craving during smoking cessation attempts: A demonstration of the time-varying effect model

Stephanie T. Lanza, Sara A. Vasilenko, Xiaoyu Liu, Runze Li, Megan E. Piper, 2014, Nicotine and Tobacco Research on p. S127-S134

Statistical inference in massive data sets

Runze Li, Dennis K.J. Lin, Bing Li, 2013, Applied Stochastic Models in Business and Industry on p. 399-409

Nonparametric mixture of regression models

Mian Huang, Runze Li, Shaoli Wang, 2013, Journal of the American Statistical Association on p. 929-941

A selective overview of feature screening for ultrahigh-dimensional data

Jing Yuan Liu, Wei Zhong, Run Ze Li, 2015, Science China Mathematics

New local estimation procedure for a non-parametric regression function for longitudinal data

Weixin Yao, Runze Li, 2013, Journal of the Royal Statistical Society. Series B: Statistical Methodology on p. 123-138