A Bayesian hierarchical spatial model for dental caries assessment using non-Gaussian Markov random fields

DOI10.1214/16-AOAS917zbMath1400.62269WikidataQ30826975 ScholiaQ30826975MaRDI QIDQ312937

Dipankar Bandyopadhyay, Ying Yuan, Ick Hoon Jin

Publication date: 9 September 2016

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.aoas/1469199897

zbMATH Keywords

Markov chain Monte CarloPotts modelBayesian inferenceautologistic modeldental cariesspatial data analysis

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (2)

A Bayesian hierarchical spatial model for dental caries assessment using non-Gaussian Markov random fields ⋮ A spatial Bayesian semiparametric mixture model for positive definite matrices with applications in diffusion tensor imaging

Uses Software

• BayesDA

Cites Work

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