Analysis of Computer Experiments Using Penalized Likelihood in Gaussian Kriging Models. - Runze Li 001; Agus Sudjianto (Technometrics, 2005)

An effective algorithm for generation of factorial designs with generalized minimum aberration. - Kai-Tai Fang; Aijun Zhang; Runze Li 001 (J. Complex., 2007)

The Bayesian lasso for genome-wide association studies. - Jiahan Li; Kiranmoy Das; Guifang Fu; Runze Li 001; Rongling Wu (Bioinform., 2011)

FADTTS: Functional analysis of diffusion tensor tract statistics. - Hongtu Zhu; Linglong Kong; Runze Li 001; Martin Styner; Guido Gerig; Weili Lin; John H. Gilmore (NeuroImage, 2011)

How to cluster gene expression dynamics in response to environmental signals. - Yakun Wang; Meng Xu; Zhong Wang 001; Ming Tao; Junjia Zhu; Li Wang 021; Runze Li 001; Scott A. Berceli; Rongling Wu (Briefings Bioinform., 2012)

On the Feasibility of Distributed Kernel Regression for Big Data. - Chen Xu 007; Yongquan Zhang; Runze Li 001; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2016)

Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions. - Hongcheng Liu; Tao Yao; Runze Li 001; Yinyu Ye 001 (Math. Program., 2017)

Variable selection for partially linear models via partial correlation. - Jingyuan Liu; Lejia Lou; Runze Li 001 (J. Multivar. Anal., 2018)

Semiparametric regression for measurement error model with heteroscedastic error. - Mengyan Li; Yanyuan Ma; Runze Li 001 (J. Multivar. Anal., 2019)

Feature screening in ultrahigh-dimensional varying-coefficient Cox model. - Guangren Yang; Ling Zhang 007; Runze Li 001; Yuan Huang (J. Multivar. Anal., 2019)

Sample average approximation with sparsity-inducing penalty for high-dimensional stochastic programming. - Hongcheng Liu; Xue Wang; Tao Yao; Runze Li 001; Yinyu Ye 001 (Math. Program., 2019)

Sensitivity and specificity of information criteria. - John J. Dziak; Donna L. Coffman; Stephanie T. Lanza; Runze Li 001; Lars S. Jermiin (Briefings Bioinform., 2020)

Prioritizing genetic variants in GWAS with lasso using permutation-assisted tuning. - Songshan Yang; Jiawei Wen; Scott T. Eckert; Yaqun Wang; Dajiang J. Liu; Rongling Wu; Runze Li 001; Xiang Zhan (Bioinform., 2020)

Distributed Feature Screening via Componentwise Debiasing. - Xingxiang Li; Runze Li 001; Zhiming Xia; Chen Xu 007 (J. Mach. Learn. Res., 2020)

Comment: Feature Screening and Variable Selection via Iterative Ridge Regression. - Jianqing Fan; Runze Li 001 (Technometrics, 2020)

Inference in high dimensional linear measurement error models. - Mengyan Li; Runze Li 001; Yanyuan Ma (J. Multivar. Anal., 2021)

Variable selection for partially linear models via Bayesian subset modeling with diffusing prior. - Jia Wang; Xizhen Cai; Runze Li 001 (J. Multivar. Anal., 2021)

Trajectories of mortality risk among patients with cancer and associated end-of-life utilization. - Ravi B. Parikh; Manqing Liu; Eric Li; Runze Li 001; Jinbo Chen (npj Digit. Medicine, 2021)

An overview of tests on high-dimensional means. - Yuan Huang; Changcheng Li; Runze Li 001; Songshan Yang (J. Multivar. Anal., 2022)

Regularized Linear Programming Discriminant Rule with Folded Concave Penalty for Ultrahigh-Dimensional Data. - Changcheng Li; Runze Li 001; Jiawei Wen; Songshan Yang; Xiang Zhan (J. Comput. Graph. Stat., 2023)