Brian D. Williamson

Statistics and Probability · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 11 citations into it
• Artificial Intelligence — 7 citations into it

Whom Brian D. Williamson 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
8. Robert Tibshirani
9. Hemant Ishwaran
10. Jianwen Shao

Who trusts Brian D. Williamson overall

1. Aaron Fisher
2. Stephen Bates
3. Cynthia Rudin
4. Trevor J. Hastie

Papers from Brian D. Williamson's perspective

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

1. Random Forests
2. Greedy function approximation: A gradient boosting machine.
3. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
4. Robust Locally Weighted Regression and Smoothing Scatterplots
5. Regression Shrinkage and Selection via the Lasso
6. Bias in random forest variable importance measures: Illustrations, sources and a solution
7. Bagging Predictors
8. Functional linear regression analysis for longitudinal data
9. Statistical Applications in Genetics and Molecular Biology Super Learner
10. Efficient and Adaptive Estimation for Semiparametric Models.

Their papers

• Nonparametric variable importance assessment using machine learning techniques (2020) — 131 citations