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On the Pointwise Behavior of Recursive Partitioning and Its Implications for Heterogeneous Causal Effect Estimation
Decision tree learning is increasingly being used for pointwise inference.
Large Scale Prediction with Decision Trees
This paper shows that decision trees constructed with Classification and Regression Trees (CART) and C4. 5 methodology are consistent for regression and classification tasks, even when the number of predictor variables grows sub-exponentially with the sample size, under natural 0-norm and 1-norm sparsity constraints.
Nonparametric Variable Screening with Optimal Decision Stumps
Decision trees and their ensembles are endowed with a rich set of diagnostic tools for ranking and screening variables in a predictive model.
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