Jialiang Li

Statistics and Probability · 2009–2020

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 25 citations into it
• Artificial Intelligence — 19 citations into it
• Control and Systems Engineering — 5 citations into it
• Molecular Biology — 5 citations into it

Whom Jialiang Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jianqing Fan
2. Xiao-Hua Zhou
3. Yingying Fan
4. Robert Tibshirani
5. Hui Zou
6. Jinchi Lv
7. Nancy A. Obuchowski
8. Runze Li
9. Ming Yuan

Papers from Jialiang Li's perspective

Ordered by how strongly the researchers Jialiang Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Shrinkage and Selection via the Lasso
2. Model selection and estimation in regression with grouped variables
3. The Adaptive Lasso and Its Oracle Properties
4. Sure independence screening for ultrahigh dimensional feature space
5. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
6. Non-Concave Penalized Likelihood with NP-Dimensionality
7. The group lasso for logistic regression
8. A unified approach to model selection and sparse recovery using regularized least squares
9. Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models
10. Sure independence screening in generalized linear models with NP-dimensionality (Annals of Statistics)

Their papers

• Nonparametric independence screening and structure identification for ultra-high dimensional longitudinal data (2013) — 76 citations
• Logistic regression was as good as machine learning for predicting major chronic diseases. (2020) — 457 citations
• Nonparametric and semiparametric estimation of the three way receiver operating characteristic surface (2009) — 59 citations