Virgilio Gomez-Rubio

Bayesian inference with INLA

• Broschiertes Buch

Produktbeschreibung

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

Produktdetails

• Verlag: CRC Press
• Seitenzahl: 332
• Erscheinungstermin: 30. September 2021
• Englisch
• Abmessung: 251mm x 178mm x 15mm
• Gewicht: 726g
• ISBN-13: 9781032174532
• ISBN-10: 1032174536
• Artikelnr.: 62573641

Autorenporträt

Virgilio Gómez-Rubio is associate professor in the Department of Mathematics, School of Industrial Engineering, Universidad de Castilla-La Mancha, Albacete, Spain. He has developed several packages on spatial and Bayesian statistics that are available on CRAN, as well as co-authored books on spatial data analysis and INLA including Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA (CRC Press, 2019).

Inhaltsangabe

1. Introduction to Bayesian Inference. 2. The Integrated Nested Laplace
Approximation. 3. Mixed-effects Models. 4. Multilevel Models. 5. Priors in
R-INLA. 6. Advanced Features. 7. Spatial Models. 8. Temporal Models. 9.
Smoothing. 10. Survival Models. 11. Implementing New Latent Models. 12.
Missing Values and Imputation. 13. Mixture models.