An external field prior for the hidden Potts model with application to cone-beam computed tomography

DOI10.1016/j.csda.2014.12.001zbMath1468.62141arXiv1404.2764OpenAlexW2078460320WikidataQ56994054 ScholiaQ56994054MaRDI QIDQ128047

Michael Poulsen, Timothy Deegan, Fiona Harden, Catriona E. Hargrave, Fiona Harden, Catriona E. Hargrave, Matthew T. Moores, Michael Poulsen, Timothy Deegan, Kerrie L. Mengersen

Publication date: June 2015

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

Full work available at URL: https://arxiv.org/abs/1404.2764

zbMATH Keywords

Bayesian image analysishidden Markov random fieldimage-guided radiation therapyIsing/Potts modellongitudinal imaging

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Random fields; image analysis (62M40) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

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Uses Software

• bayess
• RcppArmadillo
• ImageJ

Cites Work

• Bayesian mixture models in a longitudinal setting for analysing sheep CAT scan images
• RcppArmadillo: accelerating R with high-performance C++ linear algebra
• Bayesian Essentials with R
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Simulating normalizing constants: From importance sampling to bridge sampling to path sampling
• ABC likelihood-free methods for model choice in Gibbs random fields
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