Xiangrong Yin

Statistics and Probability · 2002–2016

A researcher in the Science corpus: 8 papers; trusts 36 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 68 citations into it; #1,479 of 12,932 by trust here, #3,177 by citations
• Artificial Intelligence — 17 citations into it; #19,444 of 35,345 by trust here, #26,682 by citations
• Control and Systems Engineering — 13 citations into it
• Analytical Chemistry — 10 citations into it
• Computational Mechanics — 8 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Management Science and Operations Research — 6 citations into it; #1,588 of 11,946 by trust here, #5,548 by citations

Whom Xiangrong Yin trusts overall

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

1. R. Dennis Cook
2. Ker-Chau Li
3. Bing Li
4. Jianqing Fan
5. Yingcun Xia
6. Yu Zhu
7. James R. Schott
8. Robert Tibshirani
9. Hansheng Wang
10. Theodore W. Anderson

Who trusts Xiangrong Yin overall

1. Yingcun Xia
2. Bing Li
3. Wenhui Sheng
4. Kenji Fukumizu
5. Lixing Zhu
6. Song-qiao Wen
7. Haileab Hilafu
8. Yu Zhu
9. Hansheng Wang
10. Louis Ferré

Papers from Xiangrong Yin's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Sliced Inverse Regression for Dimension Reduction
3. The Adaptive Lasso and Its Oracle Properties
4. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
5. Model selection and estimation in regression with grouped variables
6. Sure independence screening for ultrahigh dimensional feature space
7. Projection Pursuit Regression
8. Ideal spatial adaptation by wavelet shrinkage
9. Dimension reduction for conditional mean in regression
10. [A Statistical View of Some Chemometrics Regression Tools]: Discussion

Their papers

• Direction estimation in single-index regressions (2005) — 89 citations
• Moment-based dimension reduction for multivariate response regression (2006) — 69 citations
• Dimension reduction for the conditional kth moment in regression (2002) — 175 citations
• Successive direction extraction for estimating the central subspace in a multiple-index regression (2008) — 211 citations
• Sufficient dimension reduction based on an ensemble of minimum average variance estimators (2011) — 85 citations
• Sufficient Dimension Reduction via Distance Covariance (2016) — 67 citations
• Sequential sufficient dimension reduction for large p, small n problems (2015) — 81 citations
• A faster algorithm for ridge regression of reduced rank data (2002) — 49 citations