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Advanced Spatial Modeling With Stochastic Partial Differential Equations Using R And Inla

by Virgilio Gomez-Rubio, Finn Lindgren, Daniel Simpson, Elias Krainski, Haakon Bakka, Amanda Lenzi, Daniela Castro-Camilo e Havard Rue
language: english
Publisher: TAYLOR & FRANCIS LTD, December of 2018 ‧
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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.

Advanced Spatial Modeling With Stochastic Partial Differential Equations Using R And Inla

by Virgilio Gomez-Rubio, Finn Lindgren, Daniel Simpson, Elias Krainski, Haakon Bakka, Amanda Lenzi, Daniela Castro-Camilo e Havard Rue

Property Description
ISBN: 9781138369856
Publisher: TAYLOR & FRANCIS LTD
Release Date: December of 2018
Language: English
Dimensions: 156 x 235 x 20 mm
Cover: Hardcover
Pages: 298
Format: Book
Categories: Books in English > Science > Mathematics
Books in English > Others
EAN: 9781138369856