Guang Cheng

Statistics and Probability · with Zhang · 2009–2018

A researcher in the Science corpus: 8 papers; trusts 79 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 108 citations into it; #4,871 of 12,932 by trust here, #4,517 by citations
• Artificial Intelligence — 47 citations into it; #25,414 of 35,345 by trust here, #30,347 by citations
• Computational Mechanics — 15 citations into it
• Statistical Learning Theory — 14 citations into it
• Control and Systems Engineering — 11 citations into it
• Optimization & Training — 10 citations into it
• Management Science and Operations Research — 7 citations into it
• Finance — 5 citations into it

Whom Guang Cheng trusts overall

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

1. Jianqing Fan
2. Nicolai Meinshausen
3. Robert Tibshirani
4. Chong Gu
5. Hui Zou
6. Ming Yuan
7. Yi Lin
8. Cun-Hui Zhang
9. Grace Wahba
10. Victor Chernozhukov

Who trusts Guang Cheng overall

1. Axel Bucher
2. Yinchu Zhu
3. Hang Deng
4. Ivan Kojadinovic
5. Zuofeng Shang
6. Yin Lou
7. Cun-Hui Zhang
8. Anja Miltner
9. Jelena Bradic
10. Xuerong Chen

Papers from Guang Cheng's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
3. Model selection and estimation in regression with grouped variables
4. Spline Models for Observational Data
5. The Adaptive Lasso and Its Oracle Properties
6. High-dimensional graphs and variable selection with the Lasso
7. The Dantzig selector: Statistical estimation when P is much larger than n
8. Controlling the false discovery rate: a practical and powerful approach to multiple testing
9. Sure independence screening for ultrahigh dimensional feature space
10. Addendum: Regularization and variable selection via the elastic net

Their papers

• Simultaneous Inference for High-Dimensional Linear Models (2016) — 150 citations
• Journal of the American Statistical Association Linear or Nonlinear? Automatic Structure Discovery for Partially Linear Models Linear or Nonlinear? Automatic Structure Discovery for Partially Linear Models — 175 citations
• Semiparametric regression models with additive nonparametric components and high dimensional parametric components (2012) — 28 citations
• Bootstrap consistency for general semiparametric $M$-estimation (2009) — 157 citations
• Stein Neural Sampler (2018) — 37 citations
• Nonparametric inference in generalized functional linear models (2014) — 58 citations
• Local and global asymptotic inference in smoothing spline models (2012) — 65 citations
• An Absorbing Markov Chain approach to understanding the microbial role in soil carbon stabilization (2011) — 235 citations