E. Kurtz
Statistics and Probability · 2009–2014
A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 28 citations into it; #6,192 of 12,932 by trust here, #3,801 by citations
- Artificial Intelligence — 23 citations into it
- Sociology and Political Science — 10 citations into it; #10,052 of 22,756 by trust here, #9,254 by citations
- Statistical Learning Theory — 8 citations into it
Whom E. Kurtz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts E. Kurtz overall
Papers from E. Kurtz's perspective
Ordered by how strongly the researchers E. Kurtz trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Regression Shrinkage and Selection via the Lasso
- Stochastic gradient boosting
- The Elements of Statistical Learning
- Generalized Additive Models
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Statistical learning theory
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- A SIGNIFICANCE TEST FOR THE LASSO (Annals of Statistics)
- Classification and regression trees
Their papers
- Forecasting murder within a population of probationers and parolees: a high stakes application of statistical learning (2009) — 192 citations
- When second best is good enough: a comparison between a true experiment and a regression discontinuity quasi-experiment (2010) — 81 citations
- Low-intensity community supervision for low-risk offenders: a randomized, controlled trial (2010) — 61 citations
- Using Regression Kernels to Forecast A Failure to Appear in Court (2014) — 7 citations