期刊
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
卷 49, 期 1, 页码 203-220出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/03610926.2018.1536209
关键词
Geostatistics; integrated nested Laplace approximation; mesh; stochastic partial differential equation
资金
- Ciencia sem Fronteiras program of CNPq (Brazil) [200573/2015-2]
- IAP Research Network of the Belgian State (Belgian Science Policy) [P7/06]
Many methods used in spatial statistics are computationally demanding, and so, the development of more computationally efficient methods has received attention. A important development is the integrated nested Laplace approximation method which is carry out Bayesian analysis more efficiently This method, for geostatistical data, is done considering the SPDE approach that requires the creation of a mesh overlying the study area and all the obtained results depend on it. The impact of the mesh on inference and prediction is investigated through simulations. As there is no formal procedure to specify it, we investigate a guideline to create an optimal mesh.
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