Improving the convergence rate in conditional autoregressive models

DOI10.1016/j.csda.2004.11.014zbMath1431.62488DBLPjournals/csda/AbellanaCJA06OpenAlexW2001039322WikidataQ59285685 ScholiaQ59285685MaRDI QIDQ959216

Rosa M. Abellana, Carlos Ascaso, Lluís Jover, Josep L. Carrasco

Publication date: 11 December 2008

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

Full work available at URL: https://doi.org/10.1016/j.csda.2004.11.014

zbMATH Keywords

convergence rateoverdispersionPoisson regressionspatial autocorrelationdisease mappingconditional autoregressive

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (1)

Adaptive fitting of linear mixed-effects models with correlated random effects

Cites Work

• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• Maximum Likelihood Algorithms for Generalized Linear Mixed Models
• Approximate Inference in Generalized Linear Mixed Models
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