English(EN) Quasi-Bayes empirical Bayes: a sequential approach to the Poisson compound decision problem

新的Quasi-Bayes方法解决了泊松复合决策问题

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-12 04:00

一种名为Quasi-Bayes经验贝叶斯的新统计方法已被开发用于泊松复合决策问题，特别是在流数据场景中。这种序贯方法在数据累积时提供了计算效率和恒定的每观测成本。该方法得到了频率学保证的支持，包括一致性和渐近最优性，并通过模拟和与现有基准的比较验证了其性能。 AI

排序理由该集群包含一篇详细介绍统计方法论的新学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

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

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arXiv stat.ML TIER_1 English(EN) · Stefano Favaro, Sandra Fortini · 2026-06-12 04:00

Quasi-Bayes empirical Bayes: a sequential approach to the Poisson compound decision problem

arXiv:2411.07651v3 Announce Type: replace-cross Abstract: The Poisson compound decision problem is a long-standing problem is statistics, for which empirical Bayes methods are commonly used to estimate Poisson means in static or batch settings. We consider this problem in a strea…