Spatial and spatio-temporal Bayesian models with R-INLA / by Marta Blangiardo and Michela Cameletti.

Format:

Book

Author/Creator:

Blangiardo, Marta, author.

Cameletti, Michela, author.

Language:

English

Subjects (All):

Bayesian statistical decision theory.

Spatial analysis (Statistics).

Asymptotic distribution (Probability theory).

R (Computer program language).

Physical Description:

1 online resource (323 pages)

Edition:

1st ed.

Place of Publication:

Chichester, England ; West Sussex, England : Wiley, 2015.

Language Note:

English

Summary:

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

Contents:

Introduction

Introduction to R

Introduction to Bayesian methods

Bayesian computing

Bayesian regression and hierarchical models

Spatial modeling

Spatio-temporal models

Advanced modeling

Index.

Notes:

Includes bibliographical references at the end of each chapters and index.

Includes index.

Description based on print version record.

ISBN:

9781118950197

1118950194

9781118950203

1118950208

9781118950210

1118950216

OCLC:

900278105