Approximate Bayesian inference for hierarchical Gaussian Markov random field models

Håvard Rue; Sara Martino

doi:10.1016/j.jspi.2006.07.016

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Approximate Bayesian inference for hierarchical Gaussian Markov random field models

Håvard Rue Sara Martino

Year: 2007 Journal: Journal of Statistical Planning and Inference Vol: 137 (10)Pages: 3177-3192 Publisher: Elsevier BV

DOI: 10.1016/j.jspi.2006.07.016

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Keywords:

Markov chain Monte Carlo Mathematics Bayesian inference Inference Marginal model Marginal likelihood Hyperparameter Bayesian probability Markov chain Monte Carlo method Gaussian Algorithm Computer science Statistics Artificial intelligence Regression analysis

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Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Soil Geostatistics and Mapping

Physical Sciences → Environmental Science → Environmental Engineering

Approximate Bayesian inference for hierarchical Gaussian Markov random field models

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