Modelling small area counts in the presence of overdispersion and spatial autocorrelation
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Publication:961730
DOI10.1016/j.csda.2008.08.014zbMath1453.62102DBLPjournals/csda/HainingLG09OpenAlexW2019635779WikidataQ58810603 ScholiaQ58810603MaRDI QIDQ961730
Robert Haining, Jane Law, Daniel A. Griffith
Publication date: 1 April 2010
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2008.08.014
Computational methods for problems pertaining to statistics (62-08) Inference from spatial processes (62M30) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)
Related Items (4)
The tilted beta-binomial distribution in overdispersed data: maximum likelihood and Bayesian estimation ⋮ Modelling over and undercounts for design-based Monte Carlo studies in small area estimation: an application to the German register-assisted census ⋮ Multiple testing on standardized mortality ratios: a Bayesian hierarchical model for FDR estimation ⋮ Editorial. Spatial statistics: methods, models \& computation
Uses Software
Cites Work
- Likelihood-based estimation for Gaussian MRFs
- Bayesian image restoration, with two applications in spatial statistics (with discussion)
- Modeling Poisson variables with positive spatial dependence
- Bayesian computation and stochastic systems. With comments and reply.
- A spatial filtering specification for the auto-Poisson model.
- Spatial Modeling of Regional Variables
- Estimation Methods for Models of Spatial Interaction
- Bayesian Measures of Model Complexity and Fit
- Applied Spatial Statistics for Public Health Data
- Spatial modelling of individual-level parasite counts using the negative binomial distribution
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