Spatial and spatio-temporal Bayesian models with R-INLA /

Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a muchneeded, practically oriented & innovative presentation of the combination ofBayesian methodology and spatial statistics. The authors combine an introduction toBayesian theory and methodology with a focus on the spatial and sp...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Blangiardo, Marta
Otros Autores: Cameletti, Michela
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester, West Sussex : John Wiley and Sons, Inc., 2015.
Temas:
Bayesian statistical decision theory.
Spatial analysis (Statistics)
Asymptotic distribution (Probability theory)
R (Computer program language)
Théorie de la décision bayésienne.
Analyse spatiale (Statistique)
Distribution asymptotique (Théorie des probabilités)
R (Langage de programmation)
spatial analysis.
MATHEMATICS > Applied.
MATHEMATICS > Probability & Statistics > General.
Bayesian statistical decision theory
Acceso en línea:Texto completo
Descripción
Sumario:Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a muchneeded, practically oriented & innovative presentation of the combination ofBayesian methodology and spatial statistics. The authors combine an introduction toBayesian theory and methodology with a focus on the spatial and spatio­-temporal modelsused within the Bayesian framework and a series of practical examples which allowthe reader to link the statistical theory presented to real data problems. The numerousexamples from the fields of epidemiology, biostatistics and social science all arecoded in the R package R-INLA, which has proven to be a valid alternative to the commonlyused Markov Chain Monte Carlo simulations.
Descripción Física:1 online resource
Bibliografía:Includes bibliographical references and index.
ISBN:9781118950197
1118950194
9781118950210
1118950216
9781118950203
1118950208
1118326555
9781118326558

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