Multivariate generalized linear mixed models with semi-nonparametric and smooth nonparametric random effects densities

@article{Papageorgiou2012MultivariateGL,
  title={Multivariate generalized linear mixed models with semi-nonparametric and smooth nonparametric random effects densities},
  author={Georgios Papageorgiou and John Hinde},
  journal={Statistics and Computing},
  year={2012},
  volume={22},
  pages={79-92}
}
We extend the family of multivariate generalized linear mixed models to include random effects that are generated by smooth densities. We consider two such families of densities, the so-called semi-nonparametric (SNP) and smooth nonparametric (SMNP) densities. Maximum likelihood estimation, under either the SNP or the SMNP densities, is carried out using a… CONTINUE READING