Independent sampling for Bayesian normal conditional autoregressive models with OpenCL acceleration

DOI10.1007/s00180-017-0752-0zbMath1417.65032OpenAlexW2739294189MaRDI QIDQ1695513

Mary Kathryn Cowles, Stephen Bonett, Michael Seedorff

Publication date: 7 February 2018

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-017-0752-0

zbMATH Keywords

separabilityKronecker sumrejection samplingDirichlet densityCAR\texttt{CARrampsOcl}

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (1)

CARrampsOcl

Uses Software

• R
• CUDA
• CODA
• R2WinBUGS
• GMRFLib
• OpenCL
• R-INLA
• OpenBUGS
• CARBayes

Cites Work

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• Gaussian Markov Random Fields
• Bayesian Analysis of Agricultural Field Experiments
• Spatial Analyses of Periodontal Data Using Conditionally Autoregressive Priors Having Two Classes of Neighbor Relations
• Re-considering the variance parameterization in multiple precision models

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