Laura B. Balzer

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 Laura B. Balzer 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

Papers from Laura B. Balzer's perspective

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

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

Their papers