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English(EN) Jackknife Variance Estimation for H\'ajek-Dominated Generalized U-Statistics

广义U统计量的新型刀切法方差估计器

Jakob Juergens 的一篇新论文介绍了一类广义U统计量的刀切法方差估计器。该研究证明了该估计器及其删除-$d$ 变体的比率一致性,统一并推广了现有标准。这项工作阐明了广义设置下非参数刀切法的理论依据,并在更弱的条件下改进了特定回归估计量的方差估计。 AI

排序理由 学术论文发表在arXiv上,详细介绍了统计学方法。[lever_c_demoted from research: ic=1 ai=0.1]

在 arXiv stat.ML 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

广义U统计量的新型刀切法方差估计器

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学术论文发表在arXiv上,详细介绍了统计学方法。[lever_c_demoted from research: ic=1 ai=0.1]
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报道来源 [1]

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

    Jackknife方差估计用于H\'ajek主导的广义U统计量

    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…