Greg Ridgeway

Statistics and Probability · 1998–2013

A researcher in the Science corpus: 9 papers; trusts 37 researchers and is trusted by 189 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 43 citations into it; #190 of 12,932 by trust here, #603 by citations
• Sociology and Political Science — 15 citations into it; #3,781 of 22,756 by trust here, #8,212 by citations
• Artificial Intelligence — 14 citations into it
• Statistical Learning Theory — 12 citations into it
• Causal Inference & Discovery — 10 citations into it; #86 of 364 by trust here, #92 by citations
• Optimization & Training — 10 citations into it; #340 of 2,601 by trust here, #1,280 by citations
• Political Science and International Relations — 8 citations into it; #633 of 4,701 by trust here, #1,009 by citations
• Economics and Econometrics — 6 citations into it; #5,025 of 23,481 by trust here, #15,581 by citations

Whom Greg Ridgeway trusts overall

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

1. Jerome H. Friedman
2. Jeffrey M. Wooldridge
3. Donald B. Rubin
4. Yoav Freund
5. Leo Breiman
6. Daniel F McCaffrey
7. Keisuke Hirano
8. Guido W. Imbens
9. Michael A. Newton
10. Paul R. Rosenbaum

Who trusts Greg Ridgeway overall

1. Leo Guelman
2. Peter Buhlmann
3. Dimitris J. Bertsimas
4. Jianqing Fan
5. J. Macdonald
6. Cun-Hui Zhang
7. Andrea Romei
8. Max Kuhn
9. Jinchi Lv
10. Richard A. Berk

Papers from Greg Ridgeway's perspective

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

1. Statistics and Causal Inference
2. The central role of the propensity score in observational studies for causal effects
3. Stochastic gradient boosting
4. Regression Shrinkage and Selection via the Lasso
5. Greedy function approximation: A gradient boosting machine.
6. Observational Studies
7. Heuristics of instability and stabilization in model selection
8. Special Invited Paper-Additive logistic regression: A statistical view of boosting
9. The Nature of Statistical Learning Theory
10. Controlling the false discovery rate: a practical and powerful approach to multiple testing

Their papers

• [Least Angle Regression]: Discussion (2004) — 392 citations
• Propensity score estimation with boosted regression for evaluating causal effects in observational studies. (2004) — 1,318 citations
• Doubly Robust Internal Benchmarking and False Discovery Rates for Detecting Racial Bias in Police Stops (2009) — 92 citations
• Generalized Boosted Models: A guide to the gbm package (2006) — 948 citations
• Assessing the Effect of Race Bias in Post-traffic Stop Outcomes Using Propensity Scores (2006) — 189 citations
• Testing for Racial Profiling in Traffic Stops From Behind a Veil of Darkness (2006) — 258 citations
• Race, Neighbourhood Context and Perceptions of Injustice by the Police in Cincinnati (2007) — 90 citations
• Linking prediction and prevention (2013)
• Interpretable Boosted Naïve Bayes Classification (1998)