Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA - Krainski, Elias (Universidade Federal do Parana, Curitivba, Brazil) - Books - Taylor & Francis Ltd - 9780367570644 - June 30, 2020
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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA 1st edition

Krainski, Elias (Universidade Federal do Parana, Curitivba, Brazil)

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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA 1st edition

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

284 pages

Media Books     Paperback Book   (Book with soft cover and glued back)
Released June 30, 2020
ISBN13 9780367570644
Publishers Taylor & Francis Ltd
Pages 284
Dimensions 234 × 155 × 19 mm   ·   452 g
Language English  

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