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

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326 Thomas
University Park, PA 16802 - ril4@psu.edu
- 814-895-1555
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 AnalysisMost 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