Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA - 9780367570644

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

• | : Elias Krainski (Universidade Federal do Parana, Curitivba, Brazil), Virgilio Gomez-Rubio (Universidad de Castilla-La Mancha, Albacete, Spain), Haakon Bakka, Amanda Lenzi, Daniela Castro-Camilo, Daniel Simpson, Finn Lindgren (The University of Edinburgh), Havard Rue
• | Publisher: Taylor & Francis Ltd
• | Publication Date: Jun 30, 2020
• | Country of Publication: United Kingdom
• | Number of Pages: 284 pages
• | Language: Unknown
• | Binding: Paperback / softback
• | ISBN-10: 0367570645
• | ISBN-13: 9780367570644