Gaussian Markov random field spatial models in GAMLSS
نویسندگان
چکیده
منابع مشابه
Gaussian Markov Random Field Models With Applications in Spatial Statistics
Gaussian Markov Random Field (GMRF) models are frequently used in statistics, and in spatial statistics in particular. The analytical properties of the Gaussian distribution are convenient and the Markov property invaluable when constructing single site Markov chain Markov Carlo algorithms. Rue (2001) demonstrates how numerical methods for sparse matrices can be utilised to construct efficient ...
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Gaussian Markov Random Field (GMRF) models are frequently used in statistics, and in spatial statistics in particular. The analytical properties of the Gaussian distribution are convenient and the Markov property invaluable when constructing single site Markov chain Markov Carlo algorithms. Rue (2001) demonstrates how numerical methods for sparse matrices can be utilised to construct efficient ...
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ژورنال
عنوان ژورنال: Journal of Applied Statistics
سال: 2016
ISSN: 0266-4763,1360-0532
DOI: 10.1080/02664763.2016.1269728