On nearest-neighbor Gaussian process models for massive spatial data

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DOI10.1002/wics.1383zbMATH Open1545.62029MaRDI QIDQ6604489

Alan E. Gelfand, Andrew O. Finley, Abhirup Datta, Sudipto Banerjee

Publication date: 12 September 2024

Published in: Wiley Interdisciplinary Reviews. WIREs Computational Statistics (Search for Journal in Brave)

zbMATH Keywords

data structures Bayesian methods and theory computational Bayesian methods image and spatial data

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Related Items (6)

Permutation and Grouping Methods for Sharpening Gaussian Process Approximations ⋮ Improving upon the effective sample size based on Godambe information for block likelihood inference ⋮ Nearest-neighbor sparse Cholesky matrices in spatial statistics ⋮ High-dimensional multivariate geostatistics: a Bayesian matrix-normal approach ⋮ Reds: random ensemble deep spatial prediction ⋮ Nearest neighbor empirical processes

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