Justin Bleich

Statistics and Probability · 2013–2015

A researcher in the Science corpus: 8 papers; trusts 29 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom Justin Bleich trusts overall

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

  1. Leo Breiman
  2. Richard A. Berk
  3. Jerome H. Friedman
  4. Trevor J. Hastie
  5. Hugh A. Chipman
  6. Radford M. Neal
  7. Robert Tibshirani
  8. Budiman Minasny
  9. Eric Silver
  10. Edward I. George

Who trusts Justin Bleich overall

  1. Richard A. Berk
  2. Jiaming Zeng
  3. A. Goldstein
  4. Adam Kapelner
  5. Berk Ustun
  6. Lihua Lei
  7. Antonio R. Linero
  8. Cynthia Rudin
  9. Amina Adadi
  10. Mikhail Belkin

Papers from Justin Bleich's perspective

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

  1. Bagging Predictors
  2. Greedy function approximation: A gradient boosting machine.
  3. The Elements of Statistical Learning
  4. Regression Shrinkage and Selection via the Lasso
  5. Statistical learning theory
  6. Generalized Additive Models
  7. Boosting the margin: A new explanation for the effectiveness of voting methods
  8. The Nature of Statistical Learning Theory
  9. Statistical Learning Theory
  10. A SIGNIFICANCE TEST FOR THE LASSO (Annals of Statistics)

Their papers