Objective Bayesian Model Selection for Spatial Hierarchical Models with Intrinsic Conditional Autoregressive Priors-Reference-Cited by-同舟云学术

Objective Bayesian Model Selection for Spatial Hierarchical Models with Intrinsic Conditional Autoregressive Priors

Published:2023-01-01 Issue:-1 Volume:-1 Page:
ISSN:1936-0975
Container-title:Bayesian Analysis
language:
Short-container-title:Bayesian Anal.

Author:

Porter Erica M.¹,Franck Christopher T.¹,Ferreira Marco A. R.¹

Affiliation:

1. Department of Statistics, Virginia Tech, Blacksburg, VA 24061

Publisher

Institute of Mathematical Statistics

Subject

Applied Mathematics,Statistics and Probability

Reference40 articles.

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5. Best, N., Arnold, R., Thomas, A., Waller, L., and M. Conlon, E. (1999). “Bayesian Models for Spatially Correlated Disease and Exposure Data.” Bayesian Statistics, 6: 65–82.

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1. Generating Independent Replicates Directly from the Posterior Distribution for a Class of Spatial Hierarchical Models;Journal of Computational and Graphical Statistics;2024-08-26

2. Beyond Auto‐Models: Self‐Correlated Sui‐Model Respecifications;Geographical Analysis;2024-08-19

3. Bayesian Model Selection for Generalized Linear Mixed Models;Biometrics;2023-06-27

4. ref.ICAR: Objective Bayes Intrinsic Conditional Autoregressive Model for Areal Data;CRAN: Contributed Packages;2018-11-19