Area bacheca: 1590
The course aims at providing an introduction to Bayesian analysis for spatial and spatio-temporal modelling using R software (www.r-project.org).
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:
Special discounts will be provided in advance to the participants for buying the books.
The course is intended for statisticians, environmental scientists, social scientists, epidemiologists or more generally quantitative scientists interested in Bayesian methods and in spatial and spatio-temporal models.
The target audience is anyone with a basic knowledge of probability distributions and R software. Participants are encouraged to bring their own laptops (not provided by the organizers) for the practicals.
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.
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