Spatio-temporal modeling of sudden infant death syndrome data

DOI10.1016/j.stamet.2011.01.006zbMath1248.62223OpenAlexW1581633385WikidataQ104697145 ScholiaQ104697145MaRDI QIDQ713929

Noel Cressie, Lili Zhuang

Publication date: 19 October 2012

Published in: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.stamet.2011.01.006

zbMATH Keywords

dynamical Markov random fieldSIDS

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Random fields; image analysis (62M40) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Medical applications (general) (92C50)

Related Items (1)

Hierarchical Bayesian spatio-temporal Conway-Maxwell Poisson models with dynamic dispersion

Uses Software

• CRAN
• MBA

Cites Work

• Unnamed Item
• Likelihood-based estimation for Gaussian MRFs
• Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models
• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• Spatial Modeling of Regional Variables
• Spatio-temporal hierarchical modeling of an infectious disease from (simulated) count data
• Hierarchical Spatio-Temporal Mapping of Disease Rates
• Modeling Disease Incidence Data with Spatial and Spatio Temporal Dirichlet Process Mixtures
• Monte Carlo sampling methods using Markov chains and their applications
• Transformations Related to the Angular and the Square Root

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