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Graphical Gaussian process models for highly multivariate spatial data

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Publication:5872846
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DOI10.1093/biomet/asab061OpenAlexW3084353589WikidataQ115582917 ScholiaQ115582917MaRDI QIDQ5872846

Sudipto Banerjee, Debangan Dey, Abhirup Datta

Publication date: 4 January 2023

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2009.04837


zbMATH Keywords

conditional independencegraphical modelcovariance selectionMatérn Gaussian process


Mathematics Subject Classification ID

Statistics (62-XX)


Related Items (1)

Modeling Massive Highly Multivariate Nonstationary Spatial Data with the Basis Graphical Lasso




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