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ORCIDRunze Li 0001
Person information
- affiliation: Pennsylvania State University, University Park, PA, USA
Other persons with the same name
- Runze Li — disambiguation page
- Runze Li 0002
![[0000-0002-6642-5904]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6642-5904")
— University of Southern California, CA, USA - Runze Li 0003 — University of California, Riverside, CA, USA
- Runze Li 0004 — Anhui Polytechnic University, Wuhu, China
- Runze Li 0005 — Texas A&M University, College Station, TX, USA
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2020 – today
- 2023
[j20]Changcheng Li, Runze Li, Jiawei Wen, Songshan Yang, Xiang Zhan:
Regularized Linear Programming Discriminant Rule with Folded Concave Penalty for Ultrahigh-Dimensional Data. J. Comput. Graph. Stat. 32(3): 1074-1082 (2023)- 2022
- [j19]Yuan Huang, Changcheng Li, Runze Li, Songshan Yang:
An overview of tests on high-dimensional means. J. Multivar. Anal. 188: 104813 (2022) - 2021
- [j18]Jia Wang, Xizhen Cai, Runze Li:
Variable selection for partially linear models via Bayesian subset modeling with diffusing prior. J. Multivar. Anal. 183: 104733 (2021) - [j17]Mengyan Li, Runze Li, Yanyuan Ma:
Inference in high dimensional linear measurement error models. J. Multivar. Anal. 184: 104759 (2021) - [j16]Ravi B. Parikh, Manqing Liu, Eric Li, Runze Li, Jinbo Chen:
Trajectories of mortality risk among patients with cancer and associated end-of-life utilization. npj Digit. Medicine 4 (2021) - 2020
- [j15]John J. Dziak, Donna L. Coffman, Stephanie T. Lanza, Runze Li, Lars S. Jermiin:
Sensitivity and specificity of information criteria. Briefings Bioinform. 21(2): 553-565 (2020) - [j14]Songshan Yang, Jiawei Wen, Scott T. Eckert, Yaqun Wang, Dajiang J. Liu, Rongling Wu, Runze Li, Xiang Zhan:
Prioritizing genetic variants in GWAS with lasso using permutation-assisted tuning. Bioinform. 36(12): 3811-3817 (2020) - [j13]Xingxiang Li, Runze Li, Zhiming Xia, Chen Xu:
Distributed Feature Screening via Componentwise Debiasing. J. Mach. Learn. Res. 21: 24:1-24:32 (2020) - [j12]Jianqing Fan, Runze Li:
Comment: Feature Screening and Variable Selection via Iterative Ridge Regression. Technometrics 62(4): 434-437 (2020)
2010 – 2019
- 2019
- [j11]Guangren Yang, Ling Zhang, Runze Li, Yuan Huang:
Feature screening in ultrahigh-dimensional varying-coefficient Cox model. J. Multivar. Anal. 171: 284-297 (2019) - [j10]Mengyan Li, Yanyuan Ma, Runze Li:
Semiparametric regression for measurement error model with heteroscedastic error. J. Multivar. Anal. 171: 320-338 (2019) - [j9]Hongcheng Liu, Xue Wang, Tao Yao, Runze Li, Yinyu Ye:
Sample average approximation with sparsity-inducing penalty for high-dimensional stochastic programming. Math. Program. 178(1-2): 69-108 (2019) - 2018
- [j8]Jingyuan Liu, Lejia Lou, Runze Li:
Variable selection for partially linear models via partial correlation. J. Multivar. Anal. 167: 418-434 (2018) - 2017
- [j7]Hongcheng Liu, Tao Yao, Runze Li, Yinyu Ye:
Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions. Math. Program. 166(1-2): 207-240 (2017) - 2016
- [j6]Chen Xu, Yongquan Zhang, Runze Li, Xindong Wu:
On the Feasibility of Distributed Kernel Regression for Big Data. IEEE Trans. Knowl. Data Eng. 28(11): 3041-3052 (2016) - 2012
- [j5]Yakun Wang, Meng Xu, Zhong Wang, Ming Tao, Junjia Zhu, Li Wang, Runze Li, Scott A. Berceli, Rongling Wu:
How to cluster gene expression dynamics in response to environmental signals. Briefings Bioinform. 13(2): 162-174 (2012) - 2011
- [j4]Jiahan Li, Kiranmoy Das, Guifang Fu, Runze Li, Rongling Wu:
The Bayesian lasso for genome-wide association studies. Bioinform. 27(4): 516-523 (2011) - [j3]Hongtu Zhu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, John H. Gilmore:
FADTTS: Functional analysis of diffusion tensor tract statistics. NeuroImage 56(3): 1412-1425 (2011)
2000 – 2009
- 2007
- [j2]Kai-Tai Fang, Aijun Zhang, Runze Li:
An effective algorithm for generation of factorial designs with generalized minimum aberration. J. Complex. 23(4-6): 740-751 (2007) - 2005
- [j1]Runze Li, Agus Sudjianto:
Analysis of Computer Experiments Using Penalized Likelihood in Gaussian Kriging Models. Technometrics 47(2): 111-120 (2005)
Coauthor Index
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