Derives non-normalized CLT with explicit limiting variance for Abadie-Imbens fixed-match nearest-neighbor estimators of ATE.
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Derives an order-explicit large deviation bound for high-dimensional U-statistics from their Hájek projections, yielding new concentration results and consistency for resampling-based confidence intervals around subsampled kernel regression estimators.
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Limit theorems of matching estimators with a fixed number of matches
Derives non-normalized CLT with explicit limiting variance for Abadie-Imbens fixed-match nearest-neighbor estimators of ATE.
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Order-Explicit Linearization of High-Dimensional $U$-Statistics
Derives an order-explicit large deviation bound for high-dimensional U-statistics from their Hájek projections, yielding new concentration results and consistency for resampling-based confidence intervals around subsampled kernel regression estimators.