Lan Wang

Statistics and Probability · with He · 2009–2021

A researcher in the Science corpus: 8 papers; trusts 91 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 123 citations into it; #3,489 of 12,932 by trust here, #5,661 by citations
• Artificial Intelligence — 36 citations into it; #22,023 of 35,345 by trust here, #30,347 by citations
• Computational Mechanics — 22 citations into it
• Control and Systems Engineering — 13 citations into it
• Optimization & Training — 12 citations into it
• Management Science and Operations Research — 10 citations into it; #7,995 of 11,946 by trust here, #10,893 by citations
• Numerical Analysis — 8 citations into it
• Applied Mathematics — 7 citations into it

Whom Lan Wang trusts overall

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

1. Jianqing Fan
2. Wei Pan
3. Xihong Lin
4. Hui Zou
5. Eric R. Ziegel
6. Robert Tibshirani
7. R. Balan
8. Xuming He
9. Cun-Hui Zhang
10. Raymond J. Carroll

Who trusts Lan Wang overall

1. Jianhui Zhou
2. Annie Qu
3. Chenlei Leng
4. Yuanshan Wu
5. Yunwen Yang
6. Fen Zhang
7. Eun Ryung Lee
8. Xingwei Tong
9. Guosheng Yin

Papers from Lan Wang's perspective

Ordered by how strongly the researchers Lan Wang 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. Estimating the Dimension of a Model
5. The Adaptive Lasso and Its Oracle Properties
6. Generalized Linear Models
7. Addendum: Regularization and variable selection via the elastic net
8. Atomic Decomposition by Basis Pursuit
9. SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
10. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper

Their papers

• Locally Weighted Censored Quantile Regression (2009) — 260 citations
• Consistent model selection and data‐driven smooth tests for longitudinal data in the estimating equations approach (2009) — 78 citations
• Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data (2013) — 260 citations
• High‐dimensional quantile regression: Convolution smoothing and concave regularization (2021) — 97 citations
• Sparse concordance-assisted learning for optimal treatment decision (2018) — 31 citations
• Partially linear additive quantile regression in ultra-high dimension (2016) — 131 citations
• An Iterative Coordinate Descent Algorithm for High-Dimensional Nonconvex Penalized Quantile Regression (2015) — 93 citations
• GEE analysis of clustered binary data with diverging number of covariates (2011) — 124 citations