Per Bruun Brockhoff

Artificial Intelligence · 2003–2019

A researcher in the Science corpus: 13 papers; trusts 10 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Per Bruun Brockhoff trusts overall

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

  1. Russell V. Lenth
  2. Hadley Wickham
  3. Ø. Langsrud
  4. U. Halekoh
  5. Sanford Weisberg
  6. Andy Liaw
  7. Jerome H. Friedman
  8. A. Zuur
  9. Anna Palczewska
  10. Paulo Cortez

Who trusts Per Bruun Brockhoff overall

  1. Steven G. Luke
  2. E. Thurm
  3. David M. Howcroft
  4. Jakob A. Dambon
  5. Andrea Pereira
  6. Briony Banks
  7. Martin Elff
  8. James N. Donald
  9. John M. Ennis
  10. Hannah Plueckebaum

Papers from Per Bruun Brockhoff's perspective

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

  1. Random Forests
  2. R: A language and environment for statistical computing.
  3. Classification and Regression by randomForest
  4. Mixed-Effects Models in S and S-Plus
  5. Greedy function approximation: A gradient boosting machine.
  6. ggplot2 - Elegant Graphics for Data Analysis (2nd Edition)
  7. Scikit-learn: Machine Learning in Python
  8. Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation
  9. The Split-Apply-Combine Strategy for Data Analysis
  10. A Kenward-Roger approximation and parametric bootstrap methods for tests in linear mixed models: The R Package pbkrtest

Their papers