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Justin Bleich

University of Pennsylvania

24

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1220

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Evaluating the Effectiveness of Personalized Medicine With Software

2021
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Using Random Forests with Asymmetric Costs to Predict Hospital Readmissions

2021 medRxiv
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Explaining the success of adaboost and random forests as interpolating classifiers

2017 Journal of Machine Learning Research
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Citations (26)
bartMachine: Machine Learning with Bayesian Additive Regression Trees

2016 Journal of Statistical Software
- Adam Kapelner
- Justin Bleich
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Citations (183)
Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

2015 Journal of Computational and Graphical Statistics
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Prediction with missing data via Bayesian Additive Regression Trees

2015 Canadian Journal of Statistics-revue Canadienne De Statistique
- Adam Kapelner
- Justin Bleich
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Citations (41)
Prediction with missing data via Bayesian Additive Regression Trees

2015 Canadian Journal of Statistics-revue Canadienne De Statistique
- Adam Kapelner
- Justin Bleich
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Citations (16)
Evaluating the Effectiveness of Personalized Medicine with Software

2014 arXiv: Methodology
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Citations (2)
Forecasts of Violence to Inform Sentencing Decisions

2014 Journal of Quantitative Criminology
- Richard A. Berk
- Justin Bleich
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Citations (25)
Inference for Treatment Regime Models in Personalized Medicine

2014 arXiv: Methodology
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Citations (4)