Ashley I. Naimi

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ashley I. Naimi trusts overall

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

  1. Leo Breiman
  2. M. J. van der Laan
  3. Trevor J. Hastie
  4. Jerome H. Friedman
  5. Robert Tibshirani
  6. Alan E. Hubbard
  7. James M. Robins
  8. A. van der Vaart

Papers from Ashley I. Naimi's perspective

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

  1. Stacked regressions
  2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  3. Statistical Applications in Genetics and Molecular Biology Super Learner
  4. Bagging Predictors
  5. Regression Shrinkage and Selection via the Lasso
  6. The Nature of Statistical Learning Theory
  7. Regularization Paths for Generalized Linear Models via Coordinate Descent
  8. Asymptotics for lasso-type estimators
  9. Consistent Nonparametric Regression
  10. Boosting the margin: A new explanation for the effectiveness of voting methods

Their papers