Heng Peng

Statistics and Probability · 2004–2013

A researcher in the Science corpus: 8 papers; trusts 59 researchers and is trusted by 81 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 103 citations into it; #570 of 12,932 by trust here, #1,004 by citations
• Artificial Intelligence — 30 citations into it; #17,074 of 35,345 by trust here, #23,731 by citations
• Control and Systems Engineering — 17 citations into it
• Finance — 17 citations into it; #8,054 of 10,518 by trust here, #7,920 by citations
• Optimization & Training — 14 citations into it
• Economics and Econometrics — 11 citations into it
• Computational Mechanics — 10 citations into it
• Management Science and Operations Research — 9 citations into it

Whom Heng Peng trusts overall

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

1. Jianqing Fan
2. Hui Zou
3. Runze Li
4. Robert Tibshirani
5. Trevor J. Hastie
6. David R. Hunter
7. Hansheng Wang
8. David L. Donoho
9. E.J. Candes
10. Ker-Chau Li

Who trusts Heng Peng overall

1. Cun-Hui Zhang
2. Jianqing Fan
3. Hansheng Wang
4. Jian Huang
5. Heng Lian
6. Jinchi Lv
7. Nicolai Meinshausen
8. Hui Zou
9. Soumendra Nath Lahiri
10. Eitan Greenshtein

Papers from Heng Peng's perspective

Ordered by how strongly the researchers Heng Peng 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. Estimating the Dimension of a Model
6. Sure independence screening for ultrahigh dimensional feature space
7. Ideal spatial adaptation by wavelet shrinkage
8. Addendum: Regularization and variable selection via the elastic net
9. Asymptotics for lasso-type estimators
10. Nonconcave penalized likelihood with a diverging number of parameters

Their papers

• Nonconcave penalized likelihood with a diverging number of parameters (2004) — 1,070 citations
• Robust rank correlation based screening (2010) — 341 citations
• On Sliced Inverse Regression With High-Dimensional Covariates (2006) — 289 citations
• Nonparametric independence screening and structure identification for ultra-high dimensional longitudinal data (2013) — 76 citations
• Two Samples Tests for Functional Data (2010) — 57 citations
• Nonparametric Transition-Based Tests for Jump Diffusions (2009) — 93 citations
• Penalized least squares for single index models (2011) — 104 citations
• NONCONCAVE PENALIZED M-ESTIMATION WITH A DIVERGING NUMBER OF PARAMETERS (2011) — 116 citations