Description: Spatial and Spatio-temporal Bayesian Models with R - INLAAuthor(s): Marta Blangiardo, Michela Cameletti Format: Hardback Publisher: John Wiley & Sons Inc, United States Imprint: John Wiley & Sons Inc ISBN-13: 9781118326558, 978-1118326558 Synopsis Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics. The authors combine an introduction to Bayesian theory and methodology with a focus on the spatial and spatio -temporal models used within the Bayesian framework and a series of practical examples which allow the reader to link the statistical theory presented to real data problems. The numerous examples from the fields of epidemiology, biostatistics and social science all are coded in the R package R-INLA, which has proven to be a valid alternative to the commonly used Markov Chain Monte Carlo simulations
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Book Title: Spatial and Spatio-temporal Bayesian Models with R - INLA
Number of Pages: 320 Pages
Language: English
Publication Name: Spatial and Spatio-Temporal Bayesian Models with R-Inla
Publisher: John Wiley & Sons INC International Concepts
Publication Year: 2015
Subject: Mathematics
Item Height: 23 mm
Item Weight: 700 g
Type: Textbook
Author: Marta Blangiardo, Michela Cameletti
Item Width: 16 mm
Format: Hardcover
