Kyle Humphrey

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kyle Humphrey trusts overall

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

  1. Jerome H. Friedman
  2. Susan A. Murphy
  3. Min Qian
  4. Trevor J. Hastie
  5. Ying‐Qi Zhao
  6. Ilya Lipkovich
  7. Leo Breiman
  8. Donglin Zeng
  9. Alex Dmitrienko
  10. Yufan Zhao

Who trusts Kyle Humphrey overall

  1. Chao Yu

Papers from Kyle Humphrey's perspective

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

  1. Estimating Individualized Treatment Rules Using Outcome Weighted Learning
  2. Random Forests
  3. Regression Shrinkage and Selection via the Lasso
  4. The Elements of Statistical Learning
  5. The Nature of Statistical Learning Theory
  6. PERFORMANCE GUARANTEES FOR INDIVIDUALIZED TREATMENT RULES
  7. Bagging Predictors
  8. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
  9. The Adaptive Lasso and Its Oracle Properties
  10. The sparsity and bias of the Lasso selection in high-dimensional linear regression

Their papers