There are still a small number of places left on the upcoming short course on Bayesian computing and spatial modeling with the INLA-SPDE approach to be held at the University of Bergamo, Bergamo (Italy) on 28th-29th October 2013.

For details and registration information see below or visit the web site http://stephiproject.it/?page_id=208.

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SHORT DESCRIPTION
This two day free course will cover approximate Bayesian inference for latent Gaussian models using integrated nested Laplace approximations (INLA). A particular focus will be on spatial and spatio-temporal modeling for point and geostatistical processes. The lectures will include also practical examples using the package R-INLA(http://www.r-inla.org/).

The course is sponsored by the StEPhI project (http://stephiproject.it/) within the Futuro in Ricerca (FIRB)

framework (project ID RBFR12URQJ).

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INSTRUCTOR
Dr. Daniel Simpson, Department of Mathematical Sciences, Norwegian University of Science and Technology

Web-page: http://www.math.ntnu.no/~daniesi/
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TENTATIVE PROGRAM

28 October 2013
- 10:30 - 12:30: LGMS
- 14:30 - 18:00: GMRFS AND R-INLA

29 October 2013
- 09:30 - 12:30: Spatial models and SPDEs
- 14:30 - 18:00: SPDEs and case studies

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ATTENDEES
The target audience is anyone with basic training in Bayesian hierarchical models and MCMC (say, via the BUGS language) who wants to learn about a computationally effective alternative to MCMC. The second part of the course appeals to scientists interested in spatial and spatiotemporal data.

Each participant should bring a laptop (not provided by the organizers) with the most recent version of R and a working version of INLA (run source("http://www.math.ntnu.no/inla/givemeINLA.R") and then inla.update(testing=TRUE)).

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FEE
Participation is free, but registration is required as the number of participants is limited. Please contact the organizers

for information

:

Michela Cameletti ([log in to unmask])
Francesco Finazzi ([log in to unmask])

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Michela Cameletti
Dept. of

Management, Economics and Quantitative Methods

Università degli Studi di Bergamo
Via dei Caniana 2 - 24127 Bergamo

(Italy)

Tel.: + 39 035 205 2519
@: [log in to unmask]