A stochastic neighborhood conditional autoregressive model for spatial data

DOI10.1016/j.csda.2008.08.010zbMath1453.62242OpenAlexW1966245959WikidataQ33492776 ScholiaQ33492776MaRDI QIDQ961743

Gentry White, Sujit Kumar Ghosh

Publication date: 1 April 2010

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

Full work available at URL: http://europepmc.org/articles/pmc2724012

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to environmental and related topics (62P12)

Related Items

Restricted covariance priors with applications in spatial statistics, Maximum likelihood estimation for generalized conditionally autoregressive models of spatial data, A shared neighbor conditional autoregressive model for small area spatial data, Bayesian spatial models with a mixture neighborhood structure, Spatial models for point and areal data using Markov random fields on a fine grid, Editorial. Spatial statistics: methods, models \& computation, Maximum likelihood estimation for directional conditionally autoregressive models, Application of non-associative structures for construction of homomorphic cryptosystems, Disease Mapping With Generative Models

Uses Software

• geoR
• WinBUGS
• spBayes

Cites Work

• Model-based geostatistics.
• A comparative study of Gaussian geostatistical models and Gaussian Markov random field models
• Fitting Gaussian Markov Random Fields to Gaussian Fields
• Bayesian Measures of Model Complexity and Fit
• Deviance information criteria for missing data models
• Comment on article by Celeux et al.
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