Hui Zhou
Statistics and Probability · with Pan · 2013
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 13 citations into it
Whom Hui Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hui Zhou's perspective
Ordered by how strongly the researchers Hui Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- High-dimensional graphs and variable selection with the Lasso
- The Adaptive Lasso and Its Oracle Properties
- Atomic Decomposition by Basis Pursuit
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Nearly unbiased variable selection under minimax concave penalty
- One-step Sparse Estimates in Nonconcave Penalized Likelihood Models
- Estimating the Dimension of a Model
- On Model Selection Consistency of Lasso
- A unified approach to model selection and sparse recovery using regularized least squares
Their papers
- On constrained and regularized high-dimensional regression (2013) — 86 citations