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Optimal Nonparametric Inference on Network Effects with Dependent Edges

Wenqin Du · Yuan Zhang · Wen Zhou首次提交 2024-01-05 · 修订 2024-01-05 · v1arXiv预印本

边存在依赖时网络效应的最优非参数推断AI 解读

Testing network effects in weighted directed networks is a foundational problem in econometrics, sociology, and psychology. Yet, the prevalent edge dependency poses a significant methodological challenge. Most existing methods are model-based and come with stringent assumptions, limiting their applicability. In response, we introduce a novel, fully nonparametric framework that requires only minimal regularity assumptions. While inspired by recent developments in $U$ -statistic…Testing network effects in weighted directed networks is a foundational problem in econometrics, sociology, and psychology. Yet, the prevalent edge dependency poses a significant methodological challenge. Most existing methods are model-based and come with stringent assumptions, limiting their applicability. In response, we introduce a novel, fully nonparametric framework that requires only minimal regularity assumptions. While inspired by recent developments in $U$-statistic…

微观 · 网络与干扰半参数与非参数

关联记录被引 0 次 ↗OpenAlex · 核验 2026-09-30

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