Spatial and Spatio-Temporal Bayesian Models with R-INLA, by MartaBlangiardo and MichelaCameletti. Published by John Wiley and Sons, Chichester, UK, 2015. Total number of pages: 308. ISBN 978-1-118-32655-8

DOI10.1111/JTSA.12201zbMATH Open1354.00030OpenAlexW2437466643MaRDI QIDQ2954310

T. Subba Rao

Publication date: 12 January 2017

Published in: Journal of Time Series Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/jtsa.12201

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Software, source code, etc. for problems pertaining to statistics (62-04) Bayesian problems; characterization of Bayes procedures (62C10) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Empirical decision procedures; empirical Bayes procedures (62C12) External book reviews (00A17)

Cites Work

• Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations

Uses Software

• Stem

This page was built for publication: Spatial and Spatio-Temporal Bayesian Models with R-INLA, by MartaBlangiardo and MichelaCameletti. Published by John Wiley and Sons, Chichester, UK, 2015. Total number of pages: 308. ISBN 978-1-118-32655-8