Rui Song

Statistics and Probability · with Kosorok · 2006–2015

A researcher in the Science corpus: 5 papers; trusts 36 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 73 citations into it; #895 of 12,932 by trust here, #1,706 by citations
• Artificial Intelligence — 18 citations into it; #10,008 of 35,345 by trust here, #20,377 by citations
• Optimization & Training — 9 citations into it
• Computational Mechanics — 8 citations into it
• Statistical Learning Theory — 7 citations into it
• Control and Systems Engineering — 6 citations into it
• Causal Inference & Discovery — 5 citations into it
• Management Science and Operations Research — 5 citations into it; #7,207 of 11,946 by trust here, #8,062 by citations

Whom Rui Song trusts overall

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

1. Hui Zou
2. Jianqing Fan
3. E.J. Candes
4. Runze Li
5. Trevor J. Hastie
6. James M. Robins
7. Robert Tibshirani
8. Jerome H. Friedman
9. Terence Tao
10. Cun-Hui Zhang

Who trusts Rui Song overall

1. Jianqing Fan
2. Eric B. Laber
3. Anders Gorst-rasmussen
4. Qing Mai
5. Yuanshan Wu
6. Kristin A. Linn
7. Sivaraman Balakrishnan
8. Runze Li
9. Ming-Yen Cheng
10. Xiangyu Wang

Papers from Rui Song's perspective

Ordered by how strongly the researchers Rui Song 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. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
5. Addendum: Regularization and variable selection via the elastic net
6. Sure independence screening for ultrahigh dimensional feature space
7. The Dantzig selector: Statistical estimation when P is much larger than n
8. Regularization of Wavelet Approximations
9. SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
10. One-step Sparse Estimates in Nonconcave Penalized Likelihood Models

Their papers

• Sure independence screening in generalized linear models with NP-dimensionality (2009) — 670 citations
• Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models (2009) — 602 citations
• Doubly Robust Learning for Estimating Individualized Treatment with Censored Data (2014) — 156 citations
• FURTHER DETAILS ON INFERENCE UNDER RIGHT CENSORING FOR TRANSFORMATION MODELS WITH A CHANGE-POINT BASED ON A COVARIATE THRESHOLD (2006) — 83 citations
• Penalized Q-Learning for Dynamic Treatment Regimens (2015) — 101 citations