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English(EN) Gaussian Processes with Sample Paths in Reproducing Kernel Banach Spaces

Reproducing Kernel Banach Spaces 中的高斯过程探索

研究人员发表了一篇论文,探讨了高斯过程与 Reproducing Kernel Banach Spaces 中的高斯随机元素之间的关系。研究表明,弱二阶 Radon 概率测度的协方差算子由正定函数唯一确定。此外,该论文使用 $\gamma$-radonifying 算子表征了高斯背景下由协方差算子产生的正定函数,并将 Driscoll 定理推广到 Banach 空间设置。 AI

排序理由 该集群包含一篇详细介绍数学和统计学理论研究的学术论文。[lever_c_demoted from research: ic=2 ai=0.1]

在 arXiv stat.ML 阅读 →

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Reproducing Kernel Banach Spaces 中的高斯过程探索

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该集群包含一篇详细介绍数学和统计学理论研究的学术论文。[lever_c_demoted from research: ic=2 ai=0.1]
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报道来源 [2]

  1. arXiv stat.ML TIER_1 English(EN) · Toni Karvonen, Rasmus Kleist H{\o}rlyck S{\o}rensen ·

    Reproducing Kernel Banach Spaces 中的样本路径高斯过程

    arXiv:2605.28106v1 Announce Type: cross Abstract: We investigate the connection between Gaussian processes and Gaussian random elements in reproducing kernel Banach spaces. We show that the covariance operator of a weak second-order Radon probability measure on such a space is un…

  2. arXiv stat.ML TIER_1 English(EN) · Rasmus Kleist Hørlyck Sørensen ·

    Reproducing Kernel Banach Spaces 中的样本路径高斯过程

    We investigate the connection between Gaussian processes and Gaussian random elements in reproducing kernel Banach spaces. We show that the covariance operator of a weak second-order Radon probability measure on such a space is uniquely determined by a positive definite function.…