Liping Zhu
Statistics and Probability · 2007–2014
A researcher in the Science corpus: 5 papers; trusts 35 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 64 citations into it; #6,569 of 12,932 by trust here, #5,661 by citations
- Artificial Intelligence — 17 citations into it; #18,241 of 35,345 by trust here, #24,417 by citations
- Control and Systems Engineering — 11 citations into it
- Molecular Biology — 11 citations into it; #6,705 of 17,773 by trust here, #14,176 by citations
- Computational Mechanics — 9 citations into it
- Management Science and Operations Research — 9 citations into it
- Statistical Learning Theory — 7 citations into it
- Optimization & Training — 6 citations into it
Whom Liping Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jianqing Fan
- Ker-Chau Li
- Robert Tibshirani
- Hui Zou
- R. Dennis Cook
- Hansheng Wang
- Bing Li
- Yingcun Xia
- Ming Yuan
- Runze Li
Who trusts Liping Zhu overall
- Xiaoming Huo
- Cheng Huang
- G'abor J. Sz'ekely
- Yuanshan Wu
- Xiangrong Yin
- Xuming He
- Runze Li
- Praneeth Vepakomma
- Haileab Hilafu
- Guosheng Yin
Papers from Liping Zhu's perspective
Ordered by how strongly the researchers Liping Zhu trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- The Adaptive Lasso and Its Oracle Properties
- Model selection and estimation in regression with grouped variables
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Addendum: Regularization and variable selection via the elastic net
- Sure independence screening for ultrahigh dimensional feature space
- Sure independence screening for ultrahigh dimensional feature space Discussion
- One-step Sparse Estimates in Nonconcave Penalized Likelihood Models
- Estimating the Dimension of a Model
- Ideal spatial adaptation by wavelet shrinkage
Their papers
- Model-Free Feature Screening for Ultrahigh Dimensional Data (2011) — 518 citations
- On estimation efficiency of the central mean subspace (2014) — 48 citations
- Feature Screening via Distance Correlation Learning (2012) — 807 citations
- Sufficient dimension reduction through discretization-expectation estimation (2010) — 120 citations
- On kernel method for sliced average variance estimation (2007) — 68 citations