Peter B. Gilbert

Statistics and Probability · 2000–2020

A researcher in the Science corpus: 6 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Peter B. Gilbert trusts overall

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

  1. Jerome H. Friedman
  2. Trevor J. Hastie
  3. William S. Cleveland
  4. David Hilton Wolpert
  5. M. J. van der Laan
  6. Fang Yao
  7. Leo Breiman

Who trusts Peter B. Gilbert overall

  1. Konstantinos Fokianos
  2. Amor Keziou
  3. Aaron Fisher
  4. Stephen Bates

Papers from Peter B. Gilbert's perspective

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

  1. Random Forests
  2. Greedy function approximation: A gradient boosting machine.
  3. Robust Locally Weighted Regression and Smoothing Scatterplots
  4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  5. Bias in random forest variable importance measures: Illustrations, sources and a solution
  6. Statistical Applications in Genetics and Molecular Biology Super Learner
  7. Functional linear regression analysis for longitudinal data
  8. Efficient and Adaptive Estimation for Semiparametric Models.
  9. Variable importance in binary regression trees and forests
  10. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.

Their papers