Description: Advanced Spatial Modeling With Stochastic Partial Differential Equations Using R and Inla, Paperback by Krainski, Elias; Go´mez-rubio, Virgilio; Bakka, Haakon; Lenzi, Amanda; Castro-camilo, Daniela, ISBN 0367570645, ISBN-13 9780367570644, Like New Used, Free P&P in the UK Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA describes in detail the stochastic partial differential equations (SPDE) approach for modeling continuous spatial processes with a Matérn covariance, which has been implemented using the integrated nested Laplace approximation (INLA) in the R-INLA package. Key concepts about modeling spatial processes and the SPDE approach are explained with examples using simulated data and real applications. This book has been authored by leading experts in spatial statistics, including the main developers of the INLA and SPDE methodologies and the R-INLA package. It also includes a wide range of applications: * Spatial and spatio-temporal models for continuous outcomes * Analysis of spatial and spatio-temporal point patterns * Coregionalization spatial and spatio-temporal models * Measurement error spatial models * Modeling preferential sampling * Spatial and spatio-temporal models with physical barriers * Survival analysis with spatial effects * Dynamic space-time regression * Spatial and spatio-temporal models for extremes * Hurdle models with spatial effects * Penalized Complexity priors for spatial models All the examples in th are fully reproducible. Further information about this book, as well as the R code and datasets used, is available from th website at . The tools described in this book will be useful to researchers in many fields such as biostatistics, spatial statistics, environmental sciences, epidemiology, ecology and others. Graduate and . students will also find this book and associated files a valuable resource to learn INLA and the SPDE approach for spatial modeling.
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Book Title: Advanced Spatial Modeling With Stochastic Partial Differential Eq
Number of Pages: 284 Pages
Language: English
Publication Name: Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and Inla
Publisher: Taylor & Francis LTD
Publication Year: 2020
Subject: Engineering & Technology, Geography & Geosciences, Computer Science, Mathematics
Item Height: 234 mm
Item Weight: 417 g
Type: Textbook
Author: Daniela Castro-Camilo, Elias Krainski, Virgilio Gomez-Rubio, Daniel Simpson, Finn Lindgren, Haakon Bakka, Havard Rue, Amanda Lenzi
Item Width: 156 mm
Format: Paperback
