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Runze Li

Researcher at Pennsylvania State University

Publications -  304
Citations -  25154

Runze Li is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Estimator & Feature selection. The author has an hindex of 53, co-authored 272 publications receiving 21336 citations. Previous affiliations of Runze Li include Academia Sinica & Penn State Cancer Institute.

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Folded concave penalized learning of high-dimensional MRI data in Parkinson’s disease

TL;DR: In this article, a folded concave penalized machine learning scheme with spatial coupling fused penalty (fused FCP) was proposed to build biomarkers for Parkinson's disease directly from whole-brain voxel-wise MRI data.
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Estimation of scatter matrix based on i.i.d. sample from elliptical distributions

TL;DR: In this article, the estimation of a scatter matrix under entropy loss, quadratic loss, when the samplesx(1),...x(n) are i.i.d. and x(1)∼ECp(μ,Σ,f).
Posted Content

Feature Screening via Distance Correlation Learning

TL;DR: A numerical comparison indicates that theDC-SIS performs much better than the SIS in various models, and the implementation of the DC-S IS does not require model specification for responses or predictors, which is a very appealing property in ultrahigh-dimensional data analysis.
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Dependence motives and use contexts that predicted smoking cessation and vaping cessation: A two-year longitudinal study with 13 waves.

TL;DR: In this article , the authors investigated the impact of e-cigarette use, dependence, cessation motivation/goals, and environmental restriction on the speed of progression to smoking cessation, and found that those with higher secondary dependence motivations of smoking or with lower primary dependence motives of vaping progressed faster to vaping cessation.
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Rejoinder to “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression”

TL;DR: In this paper, the editors, Professors Regina Liu and Hongyu Zhao, thank the editors for featuring this article and organizing stimulating discussions and are grateful for the feedback on their work from the three reviewers.