English(EN) Nonparametric autoregressive estimation of probability distributions with parallel gradient boosting

新方法使用并行梯度提升进行非参数分布估计

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-23 04:00

研究人员开发了一种新颖的非参数自回归方法来估计概率分布，该方法对于高维数据特别有效。该方法利用条件分布估计器，并通过自回归分解联合分布，其收敛速度取决于分解中最具挑战性的因子。当使用并行梯度提升实现时，该方法在模拟和真实数据集上表现出竞争力，支持其在灵活联合分布估计方面的实用性。 AI

影响引入了一种新的统计技术，可以增强处理复杂概率分布的机器学习模型。

排序理由该集群包含一篇提交到arXiv的研究论文，详细介绍了一种新的统计方法。[lever_c_demoted from research: ic=1 ai=1.0]

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 cs.LG TIER_1 English(EN) · R\'emy Chapelle (CB, EVDG, CESP) · 2026-10-23 04:00

Nonparametric autoregressive estimation of probability distributions with parallel gradient boosting

arXiv:2610.31524v1 Announce Type: cross Abstract: Nonparametric estimation of joint probability distributions is a core problem in statistics, which is notoriously challenging with high-dimensional data. Such challenges also arise with conditional distribution estimation and have…