Journal of the American Statistical Association· 2017Q1
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
- 2,812citations
- Q1SCImago
- 2017year
Short summary
A new 'causal forest' method, extending random forests, provides statistically valid inference for heterogeneous treatment effects, outperforming traditional methods especially with irrelevant variables.
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Statistics and ProbabilityMathematics