copCAR: A Flexible Regression Model for Areal Data.

@article{Hughes2015copCARAF,
  title={copCAR: A Flexible Regression Model for Areal Data.},
  author={John W. Hughes},
  journal={Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America},
  year={2015},
  volume={24 3},
  pages={
          733-755
        }
}
  • John W. Hughes
  • Published in
    Journal of computational and graphical statistics…
    2015
Non-Gaussian spatial data are common in many fields. When fitting regressions for such data, one needs to account for spatial dependence to ensure reliable inference for the regression coefficients. The two most commonly used regression models for spatially aggregated data are the automodel and the areal generalized linear mixed model (GLMM). These models induce spatial dependence in different ways but share the smoothing approach, which is intuitive but problematic. This article develops a new… CONTINUE READING