[Forum SIS] SHORT COURSE on Bayesian computing and spatial modeling with the INLA-SPDE approach.

[Michela Cameletti]

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UNIVERSITA' DEGLI STUDI DI BERGAMO
DIPARTIMENTO DI SCIENZE AZIENDALE, ECONOMICHE E METODI QUANTITATIVI
Via dei Caniana, 2 - 24127 Bergamo  (Italy)
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SHORT COURSE
*Bayesian computing and spatial modeling with the INLA-SPDE approach*
*
*
*28 October 2013*
-  10:30 - 12:30
-  14:30 - 18:00

*29 October 2013*
-  09:30 - 12:30
-  14:30 - 18:00


The detailed program will be announced later.
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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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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* (michela.cameletti at unibg.it)
*Francesco Finazzi*  (francesco.finazzi at unibg.it)

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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
@: michela.cameletti at unibg.it
www.unibg.it/pers/?michela.cameletti
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