Ming-Yen Cheng
Statistics and Probability · 1997–2020
A researcher in the Science corpus: 5 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 55 citations into it
- Artificial Intelligence — 13 citations into it
- Control and Systems Engineering — 9 citations into it
- Molecular Biology — 9 citations into it
- Optimization & Training — 6 citations into it
- Applied Mathematics — 5 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Ming-Yen Cheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jianqing Fan
- Runze Li
- Robert Tibshirani
- Yingying Fan
- Jinchi Lv
- Hui Zou
- Hirotugu Akaike
- Florentina Bunea
- M. Stone
- Ming Yuan
Who trusts Ming-Yen Cheng overall
- Sebastian Calonico
- M. D. Cattaneo
- Michael J. Kolesar
- Rohana J. Karunamuni
- T. Armstrong
- Taisuke Otsu
- J. Porter
- R. Titiunik
- Christoph Rothe
- T. Alberts
Papers from Ming-Yen Cheng's perspective
Ordered by how strongly the researchers Ming-Yen Cheng trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- The Adaptive Lasso and Its Oracle Properties
- Model selection and estimation in regression with grouped variables
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Estimating the Dimension of a Model
- Sure independence screening for ultrahigh dimensional feature space
- Ideal spatial adaptation by wavelet shrinkage
- Nonconcave penalized likelihood with a diverging number of parameters
- Addendum: Regularization and variable selection via the elastic net
- One-step Sparse Estimates in Nonconcave Penalized Likelihood Models
Their papers
- Nonparametric independence screening and structure identification for ultra-high dimensional longitudinal data (2013) — 76 citations
- Statistical Estimation in Generalized Multiparameter Likelihood Models (2009) — 49 citations
- A Simple Two-Sample Test in High Dimensions Based on L2-Norm (2020) — 72 citations
- Conditional variance estimation in heteroscedastic regression models (2009) — 50 citations
- On automatic boundary corrections (1997)