当前位置:
X-MOL 学术
›
J. Comput. Graph. Stat.
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Fast calculation of Gaussian process multiple-fold cross-validation residuals and their covariances
Journal of Computational and Graphical Statistics ( IF 1.4 ) Pub Date : 2024-05-17 , DOI: 10.1080/10618600.2024.2353633 David Ginsbourger 1 , Cédric Schärer 1
Journal of Computational and Graphical Statistics ( IF 1.4 ) Pub Date : 2024-05-17 , DOI: 10.1080/10618600.2024.2353633 David Ginsbourger 1 , Cédric Schärer 1
Affiliation
We generalize fast Gaussian process leave-one-out formulae to multiple-fold cross-validation, highlighting in turn the covariance structure of cross-validation residuals in simple and universal kri...
中文翻译:
高斯过程多重交叉验证残差及其协方差的快速计算
我们将快速高斯过程留一公式推广到多重交叉验证,进而强调了简单且通用的克里特中交叉验证残差的协方差结构。
更新日期:2024-05-17
中文翻译:
![](https://scdn.x-mol.com/jcss/images/paperTranslation.png)
高斯过程多重交叉验证残差及其协方差的快速计算
我们将快速高斯过程留一公式推广到多重交叉验证,进而强调了简单且通用的克里特中交叉验证残差的协方差结构。