A. Rush
Statistics and Probability · with Biggs · 2006–2012
A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 11 citations into it; #2,462 of 12,932 by trust here, #2,800 by citations
- Artificial Intelligence — 9 citations into it
- Statistical Learning Theory — 6 citations into it
Whom A. Rush trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James M. Robins
- Susan A. Murphy
- Vladimir Naumovich Vapni
- Eric R. Ziegel
- Yi Lin
- Tong Zhang
- Ingo Steinwart
- Peter L. Bartlett
- Erica E. Moodie
- Paul S. Bradley
Who trusts A. Rush overall
- Eric B. Laber
- Ying‐Qi Zhao
- Michael R. Kosorok
- Susan Athey
- Stefan Wager
- Yichi Zhang
- Kyle Humphrey
- Xinkun Nie
- Yuanjia Wang
- Kosuke Imai
Papers from A. Rush's perspective
Ordered by how strongly the researchers A. Rush trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- The Elements of Statistical Learning
- Statistical behavior and consistency of classification methods based on convex risk minimization
- Optimal aggregation of classifiers in statistical learning
- Local Rademacher complexities
- Multicategory Support Vector Machines , Theory , and Application to the Classification of Microarray Data and Satellite Radiance Data
- Feature Selection via Concave Minimization and Support Vector Machines
- Support vector machines
- Convexity, Classification, and Risk Bounds
- Optimal Structural Nested Models for Optimal Sequential Decisions
Their papers
- Estimating Individualized Treatment Rules Using Outcome Weighted Learning (2012) — 805 citations
- Medication augmentation after the failure of SSRIs for depression. (2006) — 990 citations