A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling

IF 2.3 3区工程技术 Q1 STATISTICS & PROBABILITY

Technometrics Pub Date : 2023-12-18 DOI:10.1080/00401706.2023.2296451

Akhil Vakayil, V. Roshan Joseph

引用次数: 0

Abstract

In this work, we propose a novel framework for large-scale Gaussian process (GP) modeling. Contrary to the global, and local approximations proposed in the literature to address the computational b...

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大规模高斯过程建模的全局-局部近似框架

在这项工作中，我们为大规模高斯过程（GP）建模提出了一个新颖的框架。与文献中为解决计算难题而提出的全局和局部近似方法相反，我们提出了一种用于大规模高斯过程（GP）建模的新框架。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Technometrics 管理科学-统计学与概率论

CiteScore

4.50

自引率

16.00%

发文量

审稿时长

>12 weeks

期刊介绍： Technometrics is a Journal of Statistics for the Physical, Chemical, and Engineering Sciences, and is published Quarterly by the American Society for Quality and the American Statistical Association.Since its inception in 1959, the mission of Technometrics has been to contribute to the development and use of statistical methods in the physical, chemical, and engineering sciences.