Scaling priors for intrinsic Gaussian Markov random fields applied to blood pressure data

DOI10.1111/STAN.12330MaRDI QIDQ6590552

Maria-Zafeiria Spyropoulou, James Bentham

Publication date: 21 August 2024

Published in: Statistica Neerlandica (Search for Journal in Brave)

zbMATH Keywords

precisionscalingMCMCintrinsic Gaussian Markov random fieldstwo-dimensional datahyperpriors

Mathematics Subject Classification ID

Parametric inference (62Fxx) Multivariate analysis (62Hxx) Probabilistic methods, stochastic differential equations (65Cxx)

Cites Work

• An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
• Bayesian estimation of population-level trends in measures of health status
• Bayesian multiscale analysis of images modeled as Gaussian Markov random fields
• Penalising model component complexity: a principled, practical approach to constructing priors
• Sensitivity analysis in Bayesian generalized linear mixed models for binary data
• Simultaneous credible bands for latent Gaussian models
• On the Second‐Order Random Walk Model for Irregular Locations
• The computation of visible-surface representations
• Gaussian Markov Random Fields

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