J. Henderson

Artificial Intelligence · with Barnes · 2014

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Statistics and Probability — 13 citations into it

Whom J. Henderson trusts overall

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

1. Richard A. Berk
2. Leo Breiman
3. Jerome H. Friedman
4. Trevor J. Hastie
5. Halbert White
6. Yuhai Wu

Papers from J. Henderson's perspective

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

1. Generalized Additive Models
2. Stochastic gradient boosting
3. Statistical learning theory
4. A SIGNIFICANCE TEST FOR THE LASSO (Annals of Statistics)
5. Valid post-selection inference
6. Statistical Learning Theory
7. Better Bootstrap Confidence Intervals
8. Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)
9. Criminal Justice Forecasts of Risk: A Machine Learning Approach
10. Using Least Squares to Approximate Unknown Regression Functions

Their papers

• Using Regression Kernels to Forecast A Failure to Appear in Court (2014) — 7 citations