English(EN) A perspective note on likelihood approximation and inference for complex simulation models using a chain of aggregated normalizing flows

复杂模拟模型似然近似的新视角

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-07 04:00

研究人员提出了一种利用聚合归一化流链对复杂模拟模型进行似然近似的新视角。该方法旨在促进可扩展的数据分析、高效的参数探索以及用于假设检验和不确定性量化的稳健统计处理。所提出的方法涉及顺序估计双射变换集参数，利用信息论形式化和顺序决策范式来更新和聚合这些参数。 AI

影响这项研究可能导致更有效和可靠的复杂模拟数据分析方法，可能影响依赖于统计建模和推断的领域。

排序理由该集群包含一篇详细介绍似然近似新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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本文如何被排名

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Newsworthiness bucket: Tool; 该集群包含一篇详细介绍似然近似新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.LG TIER_1 English(EN) · Getachew K Befekadu · 2026-10-07 04:00

关于使用聚合归一化流链进行复杂模拟模型的似然近似与推断的视角说明

arXiv:2610.07391v1 Announce Type: cross Abstract: We present a new perspective on the problem of likelihood approximation within the framework of simulation-based inference that promotes scalable and controllable simulation routines for large-scale data analysis, allows efficient…