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http://hdl.handle.net/1942/30576
Title: | On the choice of the mesh for the analysis of geostatistical data using R-INLA | Authors: | RIGHETTO, Ana FAES, Christel VANDENDIJCK, Yannick Ribeiro Jr, Paulo Justiniano |
Issue Date: | 2020 | Publisher: | TAYLOR & FRANCIS INC | Source: | COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 49 (1) , p. 203 -220 | Abstract: | 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. | Notes: | Ribeiro, PJ (reprint author), Univ Sao Paulo, Dept Ciencias Exatas, BR-13418900 Piracicaba, SP, Brazil. ajrighetto@gmail.com |
Other: | Ribeiro, PJ (reprint author), Univ Sao Paulo, Dept Ciencias Exatas, BR-13418900 Piracicaba, SP, Brazil. ajrighetto@gmail.com | Keywords: | Geostatistics;integrated nested Laplace approximation;mesh;stochastic partial differential equation | Document URI: | http://hdl.handle.net/1942/30576 | ISSN: | 0361-0926 | e-ISSN: | 1532-415X | DOI: | 10.1080/03610926.2018.1536209 | ISI #: | WOS:000499984200016 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2021 |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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Peer reviewed author version.pdf | Peer-reviewed author version | 2.02 MB | Adobe PDF | View/Open |
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