Centered parameterizations and dependence limitations in Markov random field models

DOI10.1016/J.JSPI.2012.02.030zbMath1237.62130OpenAlexW2010091737MaRDI QIDQ419300

Kyoji Furukawa, Petruţa C. Caragea, Mark S. Kaiser

Publication date: 18 May 2012

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2012.02.030

zbMATH Keywords

spatial structurespatial dependencelattice dataauto-modelsconditionally specified models

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Markov processes (60J99)

Related Items (5)

Modeling transitivity in local structure graph models ⋮ Local structure graph models with higher‐order dependence ⋮ Selection of Proposal Distributions for Multiple Importance Sampling ⋮ Simulating Markov Random Fields With a Conclique-Based Gibbs Sampler ⋮ A centered bivariate spatial regression model for binary data with an application to presettlement vegetation data in the midwestern United States

Cites Work

• Autologistic models with interpretable parameters
• Conditionally specified distributions
• Modeling Poisson variables with positive spatial dependence
• The construction of multivariate distributions from Markov random fields
• Exploring Dependence with Data on Spatial Lattices
• Unnamed Item

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