SHORT COURSE – Bayesian computing and spatial modeling with the INLA-SPDE approach

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 given to spatial and spatio-temporal modeling for point and geostatistical processes. The lectures will also include practical examples using the package R-INLA (http://www.r-inla.org/).

Instructor

Dr. Daniel Simpson, Department of Mathematical Sciences, Norwegian University of Science and Technology (http://www.math.ntnu.no/~daniesi/).

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)).

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)

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

Where

University of Bergamo
Dept. of Management, Economics and Quantitative Methods

via dei Caniana, 2
24127 Bergamo (BG) – Italy

45° 41′ 38” N   9° 40′ 11” E

Room 16 – Second floor (See the map)

How to get there

Car: some parking spaces are available around the university building but in the morning it’s very difficult to find a place where to park.

Air: Bergamo airport (BGY) is the Ryanair hub in Italy so it shoudn’t be difficult to find a flight. Other airports such as Milano Linate (MIL) and Milano Malpensa (MXP) are well connected by bus to the Bergamo airport. Once at the airport take bus number 1 to the Bergamo railway station (45° 41′ 25” N 9° 40′ 30”).

Train: the easiest way to reach Bergamo by train is from Milan. Once at the railway station (45° 41′ 25” N 9° 40′ 30”) you have the following options.

Bus: take bus number 5, 5A or 5B from Bergamo railway station (45° 41′ 25” N 9° 40′ 30”) or from Largo Porta Nuova (45° 41′ 38” N, 9° 40′ 11” E). The bus stops in front of the university building. For more information visit this link.

Taxi: taxis are available outside Bergamo railway station. To book a taxi call +39 035 4519090.

Walk: follows this path to reach the university building from the railway station (around 20 minutes).

Unibg_Caniana_Map

Accommodation

A number of hotels are available. Hotel San Giorgio (45° 41′ 19”N 9° 40′ 06”E) is the nearest to the university building but it’s very close to the railway and you may want to choose a hotel in the city centre. Hotel Arli (45° 41′ 38” N, 9° 40′ 11” E) is in the city centre and it is very close to bus number 5 stop. A cheap place where to stay is the Central Hostel BG (45° 41′ 33”N 9° 40′ 11”E) which is also in the city centre.