Runze Li

According to our database, Runze Li authored at least 20 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Regularized Linear Programming Discriminant Rule with Folded Concave Penalty for Ultrahigh-Dimensional Data.

Changcheng Li, Runze Li, Jiawei Wen, Songshan Yang, Xiang Zhan

J. Comput. Graph. Stat., 2023

2022

An overview of tests on high-dimensional means.

Yuan Huang, Changcheng Li, Runze Li, Songshan Yang

J. Multivar. Anal., 2022

2021

Trajectories of mortality risk among patients with cancer and associated end-of-life utilization.

Ravi B. Parikh, Manqing Liu, Eric Li, Runze Li, Jinbo Chen

npj Digit. Medicine, 2021

Variable selection for partially linear models via Bayesian subset modeling with diffusing prior.

Jia Wang, Xizhen Cai, Runze Li

J. Multivar. Anal., 2021

Inference in high dimensional linear measurement error models.

Mengyan Li, Runze Li, Yanyuan Ma

J. Multivar. Anal., 2021

2020

Comment: Feature Screening and Variable Selection via Iterative Ridge Regression.

Jianqing Fan, Runze Li

Technometrics, 2020

Distributed Feature Screening via Componentwise Debiasing.

Xingxiang Li, Runze Li, Zhiming Xia, Chen Xu

J. Mach. Learn. Res., 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, Xiang Zhan

Bioinform., 2020

Sensitivity and specificity of information criteria.

John J. Dziak, Donna L. Coffman, Stephanie T. Lanza, Runze Li, Lars S. Jermiin

Briefings Bioinform., 2020

2019

Sample average approximation with sparsity-inducing penalty for high-dimensional stochastic programming.

Hongcheng Liu, Xue Wang, Tao Yao, Runze Li, Yinyu Ye

Math. Program., 2019

Feature screening in ultrahigh-dimensional varying-coefficient Cox model.

Guangren Yang, Ling Zhang, Runze Li, Yuan Huang

J. Multivar. Anal., 2019

Semiparametric regression for measurement error model with heteroscedastic error.

Mengyan Li, Yanyuan Ma, Runze Li

J. Multivar. Anal., 2019

2018

Variable selection for partially linear models via partial correlation.

Jingyuan Liu, Lejia Lou, Runze Li

J. Multivar. Anal., 2018

2017

Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions.

Hongcheng Liu, Tao Yao, Runze Li, Yinyu Ye

Math. Program., 2017

2016

On the Feasibility of Distributed Kernel Regression for Big Data.

Chen Xu, Yongquan Zhang, Runze Li, Xindong Wu

IEEE Trans. Knowl. Data Eng., 2016

2012

How to cluster gene expression dynamics in response to environmental signals.

Yakun Wang, Meng Xu, Zhong Wang, Ming Tao, Junjia Zhu, Li Wang, Runze Li, Scott A. Berceli, Rongling Wu

Briefings Bioinform., 2012

2011

FADTTS: Functional analysis of diffusion tensor tract statistics.

Hongtu Zhu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, John H. Gilmore

NeuroImage, 2011

The Bayesian lasso for genome-wide association studies.

Jiahan Li, Kiranmoy Das, Guifang Fu, Runze Li, Rongling Wu

Bioinform., 2011

2007

An effective algorithm for generation of factorial designs with generalized minimum aberration.

Kai-Tai Fang, Aijun Zhang, Runze Li

J. Complex., 2007

2005

Analysis of Computer Experiments Using Penalized Likelihood in Gaussian Kriging Models.

Runze Li, Agus Sudjianto

Technometrics, 2005