On the choice of the mesh for the analysis of geostatistical data using R-INLA

DOI10.1080/03610926.2018.1536209OpenAlexW2905955043MaRDI QIDQ5085574

Ana Julia Righetto, Yannick Vandendijck, Christel Faes, Paulo J. jun. Ribeiro

Publication date: 27 June 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2018.1536209

zbMATH Keywords

geostatisticsstochastic partial differential equationmeshintegrated nested Laplace approximation

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

A Statistical Review of Template Model Builder: A Flexible Tool for Spatial Modelling

Uses Software

• geoR
• R-INLA
• Stem

Cites Work

• Unnamed Item
• An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
• Understanding predictive information criteria for Bayesian models
• A comparison between Markov approximations and other methods for large spatial data sets
• Spatio-temporal modeling of particulate matter concentration through the SPDE approach
• Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
• Handbook of Spatial Statistics
• A Predictive Approach to Model Selection
• Bayesian Measures of Model Complexity and Fit
• ON STATIONARY PROCESSES IN THE PLANE

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