English(EN) Statistical Testing on Directed Graphs by Surrogate Data Generation

新框架支持对有向图进行统计检验

作者 PulseAugur 编辑部 · [2 个来源] · 2026-05-30 14:50

研究人员开发了一个新的有向图统计假设检验框架，将现有方法从无向图扩展而来。该方法定义了有向图广义平稳信号，并生成保留协方差结构的有向图代理信号。这使得能够构建零分布，作为经验数据的参考，并显示出优于现有技术的性能。 AI

影响为分析复杂图结构引入了新的统计方法，可能改进依赖于关系数据的机器学习模型。

排序理由这是一篇发表在arXiv上的研究论文，详细介绍了一个新的统计框架。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv stat.ML TIER_1 English(EN) · Chun Hei Michael Chan, Alexandre Cionca, Dimitri Van De Ville · 2026-06-02 04:00

基于代理数据生成的有向图统计检验

arXiv:2606.00758v1 Announce Type: new Abstract: In recent years, graph signal processing has emerged as a powerful framework at the intersection of signal processing and graph theory, providing tools for the analysis of signals defined on nodes while accounting for their relation…
arXiv stat.ML TIER_1 English(EN) · Dimitri Van De Ville · 2026-05-30 14:50

Statistical Testing on Directed Graphs by Surrogate Data Generation

In recent years, graph signal processing has emerged as a powerful framework at the intersection of signal processing and graph theory, providing tools for the analysis of signals defined on nodes while accounting for their relationships represented by edges. These tools have bee…