{
"item_title" : "Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and Inla",
"item_author" : [" Elias Krainski", "Virgilio Gómez-Rubio", "Haakon Bakka "],
"item_description" : "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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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and Inla
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Overview
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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Details
- ISBN-13: 9780367570644
- ISBN-10: 0367570645
- Publisher: CRC Press
- Publish Date: June 2020
- Dimensions: 9.1 x 5.9 x 0.7 inches
- Shipping Weight: 1.05 pounds
- Page Count: 284
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