most citedNonparametric Assessment of Variable Selection and Ranking Algorithms

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math.ST2024

Consistency of the bootstrap for asymptotically linear estimators based on machine learning

Zhou Tang, Ted Westling

The bootstrap is a popular method of constructing confidence intervals due to its ease of use and broad applicability. Theoretical properties of bootstrap procedures have been esta…