English(EN) Spectral Adaptive Conformal Prediction for Structured Non-Exchangeable Data

面向非交换数据的新型谱自适应一致性预测方法

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-14 18:13

研究人员推出了一种名为谱自适应一致性预测的新颖方法，旨在为非交换的时间索引数据集提供可靠的预测区间。该技术利用局部谱相似性形成加权一致性分位数，并在线更新失覆盖率，以适应随时间变化的预测不确定性。该方法旨在改进现有的谱加权方法，并通过模拟和真实的美国数据示例进行了演示。 AI

排序理由该集群包含一篇在 arXiv 上发表的关于新统计方法的学术论文。

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 cs.LG TIER_1 English(EN) · Jeffery Opoku, David Banahene · 2026-06-16 04:00

Spectral Adaptive Conformal Prediction for Structured Non-Exchangeable Data

arXiv:2606.15950v1 Announce Type: cross Abstract: Conformal prediction gives prediction intervals with finite-sample coverage when the data are exchangeable. Many time-indexed datasets are not exchangeable. They have seasons, recurring regimes, changing frequencies, or other form…
arXiv stat.ML TIER_1 English(EN) · David Banahene · 2026-06-14 18:13

Spectral Adaptive Conformal Prediction for Structured Non-Exchangeable Data

Conformal prediction gives prediction intervals with finite-sample coverage when the data are exchangeable. Many time-indexed datasets are not exchangeable. They have seasons, recurring regimes, changing frequencies, or other forms of structured dependence. This paper studies a s…