Jie Peng
Statistics and Probability · 2005–2008
A researcher in the Science corpus: 5 papers; trusts 33 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 40 citations into it; #4,547 of 12,932 by trust here, #8,740 by citations
- Molecular Biology — 20 citations into it; #8,063 of 17,773 by trust here, #10,506 by citations
- Artificial Intelligence — 14 citations into it
- Genetics — 13 citations into it; #2,287 of 6,854 by trust here, #2,594 by citations
- Computational Mechanics — 10 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Control and Systems Engineering — 5 citations into it
Whom Jie Peng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman
- Robert Tibshirani
- Trevor J. Hastie
- Jianqing Fan
- Ming Yuan
- Fang Yao
- Peter Hall
- Hui Zou
- Peter Buhlmann
- Hervé Cardot
Who trusts Jie Peng overall
- Ci-Ren Jiang
- Debashis Paul
- Seongho Kim
- Jane-ling Wang
- Han Liu
- Matteo Barigozzi
- Javier Zapata
- Peter J. Danaher
- Mladen Kolar
- Xiaofeng Zhu
Papers from Jie Peng's perspective
Ordered by how strongly the researchers Jie Peng trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Model selection and estimation in regression with grouped variables
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- High-dimensional graphs and variable selection with the Lasso
- Model selection and estimation in the Gaussian graphical model
- PATHWISE COORDINATE OPTIMIZATION
- The Adaptive Lasso and Its Oracle Properties
- Estimating the Dimension of a Model
- The Elements of Statistical Learning
- [Least Angle Regression]: Discussion
Their papers
- Regularized Multivariate Regression for Identifying Master Predictors with Application to Integrative Genomics Study of Breast Cancer (2008) — 305 citations
- CONSISTENCY OF RESTRICTED MAXIMUM LIKELIHOOD ESTIMATORS OF PRINCIPAL COMPONENTS (2008) — 49 citations
- A Geometric Approach to Maximum Likelihood Estimation of the Functional Principal Components From Sparse Longitudinal Data (2007) — 128 citations
- Partial Correlation Estimation by Joint Sparse Regression Models (2008) — 395 citations
- Estimation of individual admixture: Analytical and study design considerations (2005) — 645 citations