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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

By: Brazil) Krainski Curitivba Elias (Universidade Federal do Parana (Author) , Spain) Gomez-Rubio Albacete Virgilio (Universidad de Castilla-La Mancha (Author) , Haakon Bakka (Author)

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Ksh 25,200.00

Format: Hardback or Cased Book

ISBN-13: 9781138369856

Publisher: Taylor & Francis Ltd

Publication Date: Dec 19th, 2018

Weight: 650 grams

Dimension: 16.00 x 24.00 x 2.20 cms

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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.

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