Joseph Sexton
Statistics and Probability · 2009
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 6 citations into it; #3,580 of 12,932 by trust here, #6,552 by citations
Whom Joseph Sexton trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- Jerome H. Friedman
- Bradley Efron
- Trevor J. Hastie
- Robert Tibshirani
- Thomas G. Dietterich
- Yi Lin
- Eric Bauer
- Robert Tibshirani
Who trusts Joseph Sexton overall
- Stefan Wager
- Susan Athey
- Sarah Tan
- Julie Tibshirani
- Lucas K. Mentch
- Rina Friedberg
- Bradley Efron
- Giles Hooker
- Trevor J. Hastie
- R. Caruana
Papers from Joseph Sexton's perspective
Ordered by how strongly the researchers Joseph Sexton trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
- Random Forests
- Greedy function approximation: A gradient boosting machine.
- An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
- The Nature of Statistical Learning Theory
- Random Forests and Adaptive Nearest Neighbors
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Regression Shrinkage and Selection via the Lasso
- The Elements of Statistical Learning
Their papers
- Standard errors for bagged and random forest estimators (2009) — 119 citations