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

posted 12 Oct 2015, 10:15 by Havard Rue   [ updated 12 Oct 2015, 12:51 by Michela Cameletti ]
Short course "Spatial and Spatio-Temporal Bayesian Models with R-INLA"

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

http://www00.unibg.it/struttura/struttura.asp?cerca=dsaemq_r-inla2015



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