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Nearest-Neighbor Mixture Models for Non-Gaussian Spatial Processes

X Zheng, A Kottas, B Sansó - arXiv preprint arXiv:2107.07736, 2021 - arxiv.org

… Thus, it facilitates efficient, full simulation-based inference. We study model construction and properties analytically through specification of bivariate distributions that define the local …

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BibTeX

@misc{zheng2022nearestneighbormixturemodelsnongaussian,
      title={Nearest-Neighbor Mixture Models for Non-Gaussian Spatial Processes}, 
      author={Xiaotian Zheng and Athanasios Kottas and Bruno Sansó},
      year={2022},
      eprint={2107.07736},
      archivePrefix={arXiv},
      primaryClass={stat.ME},
      url={https//arxiv.org/abs/2107.07736}, 
}

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