Conditional-mean least-squares fitting of Gaussian Markov random fields to Gaussian fields

DOI10.1016/j.csda.2007.10.008zbMath1452.62707OpenAlexW2011189221WikidataQ104697331 ScholiaQ104697331MaRDI QIDQ1023610

Noel Cressie, Nicolas Verzelen

Publication date: 12 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2007.10.008

zbMATH Keywords

Kullback-Leibler divergenceGMRFMRFmatched-correlation criterionradionuclide concentrationsRongelap island

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Random fields; image analysis (62M40)

Related Items

High-Dimensional Inference for Cluster-Based Graphical Models, Spatial prediction with mobile sensor networks using Gaussian processes with built-in Gaussian Markov random fields, Rejoinder on: ``Some recent work on multivariate Gaussian Markov random fields, Data-driven neighborhood selection of a Gaussian field, An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach, Adaptive estimation of stationary Gaussian fields, Fully Bayesian Field Slam Using Gaussian Markov Random Fields

Uses Software

• GMRFLib

Cites Work

• Likelihood-based estimation for Gaussian MRFs
• Spatial variation. 2nd ed
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Model-Based Geostatistics
• Fitting Gaussian Markov Random Fields to Gaussian Fields
• Gaussian Markov Random Fields
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