Short course "Spatial and Spatio-Temporal Bayesian Models with R-INLA"

Post date: Oct 12, 2015 5:15:10 PM

12-15 January 2016

University of Bergamo (Italy)

Instructors

Dr. M. Blangiardo - Imperial College London (www.imperial.ac.uk/people/m.blangiardo)

Dr. M. Cameletti - Università di Bergamo (www.unibg.it/pers/?michela.cameletti)

Dr. V. Gómez Rubio - Universidad de Castilla-La Mancha (www.uclm.es/profesorado/vgomez)

Description

The course aims at providing an introduction to Bayesian analysis for

spatial and spatio-temporal modelling using the R software and R-INLA.

The first day of the course will be dedicated to standard spatial analysis

with R for different types of data: this includes data import/export, data

management and visualisation for geostatistical, area and point pattern

data.

In the following days the theoretical aspects of the Bayesian approach will

be introduced, with a particular focus on spatial and spatio-temporal

models and on the Integrated Nested Laplace Approximation (INLA,

www.r-inla.org) approach, which has proven to be a valid alternative to the

commonly used Markov Chain Monte Carlo simulations. A particular emphasis

will be given on examples of applied analysis using the R-INLA package.

The course timetable is a mixture of lectures and computer practicals based

on the following two books:

- Applied spatial data analysis with R (www.asdar-book.org)

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

sites.google.com/a/r-inla.org/stbook)

Course fee

The course fee is 200 Euro for PhD students, 300 Euro for Academia / Public

sector and 500 Euro for Private Sector. The fee includes course material,

coffee breaks, lunches and the social dinner.

For further information and the registration form, please visit the

following webpage