Lindsay Ahlman
Statistics and Probability · 2009–2010
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 15 citations into it; #7,799 of 12,932 by trust here, #4,014 by citations
- Statistical Learning Theory — 5 citations into it
Whom Lindsay Ahlman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Lindsay Ahlman overall
Papers from Lindsay Ahlman's perspective
Ordered by how strongly the researchers Lindsay Ahlman trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Regression Shrinkage and Selection via the Lasso
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Stochastic gradient boosting
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- The Elements of Statistical Learning
- Random Forests and Adaptive Nearest Neighbors
- Classification and regression trees
- On regression adjustments to experimental data
- Statistical Learning from a Regression Perspective
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