Bayesian inference with INLA

Gomez-Rubio, Virgilio (Universidad de Castilla-La Mancha

Description

The Integrated Nested Laplace Approximation (INLA) is a popular method for approximate Bayesian inference. This book provides an introduction to the underlying INLA methodology and practical guidance on how to fit different models with R-INLA and R. This covers a wide range of applications, such as multilevel models, spatial models and survival
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Writer
Gomez-Rubio, Virgilio (Universidad de Castilla-La Mancha
Title
Bayesian inference with INLA
Publisher
Taylor & Francis Ltd
Year
2021
Language
English
Pages
332
Weight
610 gr
EAN
9781032174532
Dimensions
254 x 178 x 15 mm
Binding format
Paperback

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