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Spatial And Spatio-Temporal Bayesian Models With R - Inla (Cód: 9235997)

Blangiardo, Marta; Cameletti, Michela; Blangiardo,

John Wiley & Sons

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Descrição

'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 The reference book for spatio-temporal modeling with INLA The Bayesian approach is particularly effective at modeling large datasets including spatial and temporal information due to its flexibility and ease with which it can formally include correlation and hierarchical structures in the data. However, classical simulation methods such as Markov Chain Monte Carlo can become computationally unfeasible; this book presents the Integrated Nested Laplace Approximations (INLA) approach as a computationally effective and extremely powerful alternative. 'Spatial and Spatio-temporal Bayesian Models' 'with R-INLA' introduces the basic paradigms of the Bayesian approach and describes the associated computational issues. Detailing the theory behind the INLA approach and the R-INLA package, it focuses on spatial and spatio-temporal modeling for area and point-referenced data. The combination of detailed theory and practical data analysis is beneficial for readers at any level. The coding of all the examples in R-INLA and the availability of all the datasets used throughout the book on the INLA website (www.r-inla.org) make an appealing feature for applied researchers wanting to approach or increase their knowledge and practice of the INLA method.

Características

Peso 0.52 Kg
Produto sob encomenda Sim
Marca John Wiley & Sons
I.S.B.N. 9781118326558
Referência 030581471
Altura 22.86 cm
Largura 15.24 cm
Profundidade 2.03 cm
Número de Páginas 320
Idioma Inglês
Acabamento Capa dura
Cód. Barras 9781118326558
Ano da edição 2015
AutorBlangiardo, Marta; Cameletti, Michela; Blangiardo,