Description: Spatial and Spatio-Temporal Bayesian Models With R-INLA, Hardcover by Blangiardo, Marta; Cameletti, Michela, ISBN 1118326555, ISBN-13 9781118326558, Like New Used, Free shipping in the US Blangiardo and Cameletti introduce Bayesian thinking and theoretical aspects of the Bayesian approach, focusing on the spatial and spatio-temporal models used within the Bayesian framework and presenting a series of practical examples that allow readers to link the statistical theory they present to real data problems. They code all the examples in the R package R-INLA and use the recently developed integrated nested Laplace approximation (INLA) method, which has proven to be a valid alternative to the commonly used Markov Chain Monte Carlo simulations. Annotation ©2015 Ringgold, Inc., Portland, OR ()
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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: Wiley & Sons, Incorporated, John
Publication Year: 2015
Subject: Programming Languages / General, Probability & Statistics / Bayesian Analysis
Item Height: 0.8 in
Type: Textbook
Item Weight: 18.9 Oz
Subject Area: Mathematics, Computers
Author: Michela Cameletti, Marta Blangiardo
Item Length: 9.3 in
Item Width: 6.2 in
Format: Hardcover