Zhenhua Lin

Statistics and Probability · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 45 citations into it
• Artificial Intelligence — 22 citations into it
• Applied Mathematics — 12 citations into it; #4,712 of 7,620 by trust here, #7,035 by citations
• Geometry and Topology — 9 citations into it; #4,627 of 7,422 by trust here, #6,497 by citations
• Mathematical Physics — 9 citations into it
• Computational Theory and Mathematics — 6 citations into it
• Control and Systems Engineering — 6 citations into it
• Computational Mechanics — 5 citations into it

Whom Zhenhua Lin trusts overall

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

1. Jianqing Fan
2. Peter Hall
3. Tommaso Cai
4. Hervé Cardot
5. H. Muller
6. T. Hsing
7. Hui Zou
8. Ming Yuan
9. Frédéric Ferraty
10. Runze Li

Who trusts Zhenhua Lin overall

1. Laya Ghodrati
2. Chao Zhang

Papers from Zhenhua Lin's perspective

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

1. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
2. Regression Shrinkage and Selection via the Lasso
3. Prediction in functional linear regression
4. Local polynomial modelling and its applications
5. Model selection and estimation in regression with grouped variables
6. The Adaptive Lasso and Its Oracle Properties
7. Linear Processes in Function Spaces: Theory And Applications
8. One-step Sparse Estimates in Nonconcave Penalized Likelihood Models
9. A Practical Guide to Splines
10. Generalized functional linear models

Their papers

• Wasserstein Regression (2020) — 142 citations
• Intrinsic Riemannian functional data analysis (2018) — 52 citations
• Locally Sparse Estimator for Functional Linear Regression Models (2017) — 72 citations