Kai Wang

Statistics and Probability · with Huang · 2013

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Wang trusts overall

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

  1. Robert Tibshirani
  2. Trevor J. Hastie
  3. Hui Zou
  4. Hirotugu Akaike
  5. Jerome H. Friedman
  6. Jianqing Fan
  7. Keith Knight
  8. Cun-Hui Zhang
  9. Rahul Mazumder
  10. Tong Tong Wu

Papers from Kai Wang's perspective

Ordered by how strongly the researchers Kai Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Regression Shrinkage and Selection via the Lasso
  2. Asymptotics for lasso-type estimators
  3. The Adaptive Lasso and Its Oracle Properties
  4. On Model Selection Consistency of Lasso
  5. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
  6. Sparsity and smoothness via the fused lasso
  7. A new look at the statistical model identification
  8. Genome-wide association analysis by lasso penalized logistic regression (Bioinform.)
  9. The sparsity and bias of the Lasso selection in high-dimensional linear regression
  10. Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization

Their papers