Performance of information criteria for spatial models

DOI10.1080/00949650701611143zbMath1161.62064OpenAlexW2106191434WikidataQ42548513 ScholiaQ42548513MaRDI QIDQ3615058

Hyeyoung Lee, Sujit Kumar Ghosh

Publication date: 17 March 2009

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2739399

zbMATH Keywords

model selectionspatial modelsinformation criteria

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Inference from spatial processes (62M30) Monte Carlo methods (65C05)

Related Items (2)

Model selection with misspecified spatial covariance structure ⋮ Capturing multivariate spatial dependence: model, estimate and then predict

Cites Work

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• Uniform asymptotic normality of the maximum likelihood estimator
• Estimating the dimension of a model
• Statistical Methods for Spatial Data Analysis
• Maximum likelihood estimation of models for residual covariance in spatial regression
• Regression and time series model selection in small samples
• Achieving Uniformity in a Semiconductor Fabrication Process Using Spatial Modeling
• Further analysis of the data by Akaike's information criterion and the finite corrections
• Model Selection and Multimodel Inference
• Bayesian Measures of Model Complexity and Fit
• On Information and Sufficiency

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