Generalized Hierarchical Multivariate CAR Models for Areal Data
From MaRDI portal
Publication:3379249
DOI10.1111/j.1541-0420.2005.00359.xzbMath1087.62127OpenAlexW2161132263WikidataQ31029087 ScholiaQ31029087MaRDI QIDQ3379249
Xiaoping Jin, Sudipto Banerjee, Bradley P. Carlin
Publication date: 6 April 2006
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1541-0420.2005.00359.x
Inference from spatial processes (62M30) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Medical applications (general) (92C50) Numerical analysis or methods applied to Markov chains (65C40)
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Uses Software
Cites Work
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- Multi-dimensional multivariate Gaussian Markov random fields with application to image processing
- Bayesian image restoration, with two applications in spatial statistics (with discussion)
- A close look at the spatial structure implied by the CAR and SAR models.
- Sampling-Based Approaches to Calculating Marginal Densities
- A Bivariate Bayes Method for Improving the Estimates of Mortality Rates With a Twofold Conditional Autoregressive Model
- Towards joint disease mapping
- A bivariate Poisson count data model using conditional probabilities
- Bayesian Measures of Model Complexity and Fit
- Efficient parametrisations for normal linear mixed models
- Proper multivariate conditional autoregressive models for spatial data analysis
