G. Barnes
Sociology and Political Science · with Berk · 2005–2018
A researcher in the Science corpus: 10 papers; trusts 24 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Sociology and Political Science — 39 citations into it; #11,192 of 22,756 by trust here, #7,219 by citations
- Statistics and Probability — 38 citations into it; #6,195 of 12,932 by trust here, #3,801 by citations
- Artificial Intelligence — 36 citations into it
- Clinical Psychology — 25 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Statistical Learning Theory — 8 citations into it
- Economics and Econometrics — 7 citations into it
- Model Architectures — 6 citations into it
Whom G. Barnes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard A. Berk
- Leo Breiman
- Trevor J. Hastie
- D. Mackenzie
- Donald B. Rubin
- S. Gupta
- Jerome H. Friedman
- David Ruppert
- Robert Tibshirani
- Niko Speybroeck
Who trusts G. Barnes overall
Papers from G. Barnes's perspective
Ordered by how strongly the researchers G. Barnes 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
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Statistical learning theory
- Generalized Additive Models
- Random Forests and Adaptive Nearest Neighbors
- Estimating causal effects of treatments in randomized and nonrandomized studies.
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
- Effects of face-to-face restorative justice on victims of crime in four randomized, controlled trials (2005) — 227 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
- Algorithmic risk assessment policing models: lessons from the Durham HART model and ‘Experimental’ proportionality (2018) — 176 citations
- An Experimental Evaluation of the Impact of Intensive Supervision on the Recidivism of High-Risk Probationers (2017) — 92 citations
- Forecasting Domestic Violence: A Machine Learning Approach to Help Inform Arraignment Decisions (2016) — 125 citations
- Document Title: Classifying Adult Probationers by Forecasting Future Offending (2012) — 34 citations
- Restorative justice: the evidence (2007) — 436 citations