Julian Hagenauer

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Julian Hagenauer trusts overall

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

  1. Leo Breiman
  2. Jerome H. Friedman
  3. Daniel McFadden
  4. Max Kuhn
  5. R. Ewing
  6. Yoav Benjamini
  7. Chih-Wei Hsu
  8. Li Shen
  9. Jay K. Dow
  10. Lars Böcker

Who trusts Julian Hagenauer overall

  1. Xilei Zhao
  2. Xiang Yan
  3. Alan Yu

Papers from Julian Hagenauer's perspective

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

  1. Bagging Predictors
  2. The Nature of Statistical Learning Theory
  3. Random Forests
  4. Support-Vector Networks
  5. Greedy function approximation: A gradient boosting machine.
  6. Pattern Recognition and Machine Learning
  7. Regression Shrinkage and Selection via the Lasso
  8. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  9. The Elements of Statistical Learning
  10. The Random Subspace Method for Constructing Decision Forests

Their papers