Sampling hyperparameters in hierarchical models: Improving on Gibbs for high-dimensional latent fields and large datasets

Richard Norton, J. Andrés Christen, Colin Fox. Sampling hyperparameters in hierarchical models: Improving on Gibbs for high-dimensional latent fields and large datasets. Communications in Statistics - Simulation and Computation, 47(9):2639-2655, 2018. [doi]

@article{NortonCF18,
  title = {Sampling hyperparameters in hierarchical models: Improving on Gibbs for high-dimensional latent fields and large datasets},
  author = {Richard Norton and J. Andrés Christen and Colin Fox},
  year = {2018},
  doi = {10.1080/03610918.2017.1353618},
  url = {https://doi.org/10.1080/03610918.2017.1353618},
  researchr = {https://researchr.org/publication/NortonCF18},
  cites = {0},
  citedby = {0},
  journal = {Communications in Statistics - Simulation and Computation},
  volume = {47},
  number = {9},
  pages = {2639-2655},
}