Multivariate spatio‐temporal modelling for assessing Antarctica's present‐day contribution to sea‐level rise

DOI10.1002/env.2323zbMath1525.62240OpenAlexW1605287170WikidataQ40041574 ScholiaQ40041574MaRDI QIDQ6139134

Unnamed Author, Finn Lindgren, Andrew Zammit-Mangion, Jonathan Rougier, Unnamed Author

Publication date: 18 December 2023

Published in: Environmetrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/env.2323

zbMATH Keywords

stochastic partial differential equationsspatio-temporal statisticsmultivariate modellingparallel MCMCsea-level rise

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

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Cites Work

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• An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
• Equilibrium dynamics of ice streams: a Bayesian statistical analysis
• Modeling space-time dynamics of aerosols using satellite data and atmospheric transport model output
• A Bayesian tutorial for data assimilation
• Multivariate spatial-temporal modeling and prediction of speciated fine particles
• Dynamic Models for Spatiotemporal Data
• Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
• Bayesian Inference for the Spatial Random Effects Model
• Stationary space-time Gaussian fields and their time autoregressive representation
• An Efficient Heuristic Procedure for Partitioning Graphs
• Spatiotemporal Hierarchical Bayesian Modeling Tropical Ocean Surface Winds
• Gaussian Markov Random Fields
• Spatio‐temporal smoothing and EM estimation for massive remote‐sensing data sets
• Graph colouring and the probabilistic method

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