Dehan Kong

Statistics and Probability · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 27 citations into it; #12,198 of 12,932 by trust here, #10,855 by citations
• Artificial Intelligence — 12 citations into it
• Causal Inference & Discovery — 5 citations into it

Whom Dehan Kong trusts overall

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

1. Jianqing Fan
2. Donald B. Rubin
3. Peter Hall
4. A. D'Amour
5. H. Muller
6. Hui Zou
7. Jing Lei
8. Runze Li
9. Ming Yuan
10. Tommaso Cai

Who trusts Dehan Kong overall

1. Jane-ling Wang
2. H. Muller
3. Jeng-Min Chiou

Papers from Dehan Kong's perspective

Ordered by how strongly the researchers Dehan Kong 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. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
4. Prediction in functional linear regression
5. The Adaptive Lasso and Its Oracle Properties
6. Functional Data Analysis
7. High-dimensional graphs and variable selection with the Lasso
8. One-step Sparse Estimates in Nonconcave Penalized Likelihood Models
9. Addendum: Regularization and variable selection via the elastic net
10. Estimating causal effects of treatments in randomized and nonrandomized studies.

Their papers

• Partially functional linear regression in high dimensions (2016) — 190 citations
• Multi-cause causal inference with unmeasured confounding and binary outcome. (2019) — 8 citations