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New Jackknife Variance Estimator for Generalized U-Statistics

By PulseAugur Editorial · [1 sources] ·

A new paper by Jakob Juergens introduces the jackknife variance estimator for a broad class of generalized U-statistics. The research proves ratio-consistency for this estimator and its delete-$d$ variants, unifying and generalizing existing criteria. This work clarifies the theoretical justification for the nonparametric jackknife in generalized settings and improves variance estimation for specific regression estimators under weaker conditions. AI

RANK_REASON Academic paper published on arXiv detailing statistical methodology. [lever_c_demoted from research: ic=1 ai=0.1]

Read on arXiv stat.ML →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

  1. arXiv stat.ML TIER_1 English(EN) · Jakob R. Juergens ·

    Jackknife Variance Estimation for H\'ajek-Dominated Generalized U-Statistics

    arXiv:2509.12356v2 Announce Type: replace-cross Abstract: Valid uncertainty quantification for subsampling-based and randomized estimators often depends on variance estimators whose behavior is much less understood than that of the underlying point estimator. We prove ratio-consi…

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