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smashGP: Large-scale Spatial Modeling via Matrix-free Gaussian Processes
Journal of Computational and Graphical Statistics ( IF 1.4 ) Pub Date : 2024-05-22 , DOI: 10.1080/10618600.2024.2353653
Lucas Erlandson 1 , Ana María Estrada Gómez 2 , Edmond Chow 1 , Kamran Paynabar 3
Affiliation  

Gaussian processes are essential for spatial data analysis. Not only do they allow the prediction of unknown values, but they also allow for uncertainty quantification. However, in the era of big d...

中文翻译:


smashGP:通过无矩阵高斯过程进行大规模空间建模



高斯过程对于空间数据分析至关重要。它们不仅允许预测未知值,而且还允许不确定性量化。然而,在大数据时代...
更新日期:2024-05-24
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