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Advanced Spatial Modeling With Stochastic Partial Differential Equations Using R And Inla
idioma: inglês
Editor:
TAYLOR & FRANCIS LTD, dezembro de 2018 ‧
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168,98€
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SINOPSE
The Integrated Nested Laplace Approximation is a popular method for approximate Bayesian inference. INLA is an alternative to other methods for Bayesian inference, such as Markov Chain Monte Carlo, that are more computationally demanding. In addition, the R-INLA package for the R statistical software provides a way to fit such models in practice.
DETALHES
| Propriedade | Descrição |
|---|---|
| ISBN: | 9781138369856 |
| Editor: | TAYLOR & FRANCIS LTD |
| Data de Lançamento: | dezembro de 2018 |
| Idioma: | Inglês |
| Dimensões: | 156 x 235 x 20 mm |
| Encadernação: | Capa dura |
| Páginas: | 298 |
| Tipo de produto: | Livro |
| Classificação Temática: |
Livros em Inglês
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Ciências Exatas e Naturais
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Matemática
Livros em Inglês > Outros |
| EAN: | 9781138369856 |
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