Random Forests as Statistical Procedures: Design, Variance, and Dependence

arXiv:2602.13104v2 Announce Type: replace-cross Abstract: Random forests are widely used prediction procedures, yet are typically described algorithmically rather than as statistical designs acting on a fixed set of covariates. We develop a finite-sample, design-based formulat...

🔗 Read more: https://arxiv.org/abs/2602.13104

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