Spatial bayesian hierarchical modelling with integrated nested laplace approximation

N D'Angelo, A Abbruzzo, G Adelfio - arXiv preprint arXiv:2009.03712, 2020 - arxiv.org
We consider latent Gaussian fields for modelling spatial dependence in the context of both
spatial point patterns and areal data, providing two different applications. The …
被引用次数：2 相关文章
[PDF] academia.edu

[PDF][PDF] Spatial Bayesian Hierarchical Modelling with Integrated Nested Laplace Approximation

N D'Angelo, A Abbruzzo, G Adelfio - arXiv preprint arXiv:2009.03712, 2020 - academia.edu
We consider latent Gaussian fields for modelling spatial dependence in the context of both
spatial point patterns and areal data, providing two different applications. The …
[HTML] europepmc.org

[HTML][HTML] Spatial Bayesian Hierarchical Modelling with Integrated Nested Laplace Approximation

N D'Angelo, A Abbruzzo, G Adelfio - 2020 - europepmc.org
We consider latent Gaussian fields for modelling spatial dependence in the context of both
spatial point patterns and areal data, providing two different applications. The …

Spatial Bayesian Hierarchical Modelling with Integrated Nested Laplace Approximation

N D'Angelo, A Abbruzzo, G Adelfio - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
We consider latent Gaussian fields for modelling spatial dependence in the context of both
spatial point patterns and areal data, providing two different applications. The …
[PDF] researchgate.net

[PDF][PDF] Spatial Bayesian Hierarchical Modelling with Integrated Nested Laplace Approximation

N D'Angelo, A Abbruzzo, G Adelfio - arXiv preprint arXiv …, 2020 - researchgate.net
We consider latent Gaussian fields for modelling spatial dependence in the context of both
spatial point patterns and areal data, providing two different applications. The …