[Forum SIS] PhD course Geostatistics

[Laura M. Sangalli]

The following PhD course in Geostatistics will be held at the Department 
of Mathematics, Politecnico di Milano

The course covers classical and advanced models and methods for the 
statistical analysis of data with spatial dependence. Lectures include 
tutorial sessions with the software R. Many case studies will be 
presented, with applications in the earth-sciences, in the neurosciences 
and more generally in the life-sciences (including medical imaging), and 
in the engineering.

Lessons:
1 & 2) Kriging: stationary and isotropic random fields; structural 
properties of the variogram; valid variogram models; variogram 
estimation; kriging prediction for georeferenced data; drift estimation; 
kriging for data in Hilbert spaces. Lecturer: A. Menafoglio.
3) Non-parametric techniques. Lecturer: Simone Vantini.
4) Bayesian models for georeferenced data and areal data. Lecturer: A. 
Guglielmi.
5) Numerical methods for the analysis of spatially distributed data: 
thin-plate splines; tensor product splines. Lecturer: L. Sangalli.
6) Spatial regression with differential regularization. Lecturer: L. 
Sangalli.

Essential bibliography:
- N. Cressie. Statistics for Spatial data. John Wiley & Sons, New York, 
1993.
- S. Banerjee, B. P. Carlin, and A. E. Gelfand. Hierarchical Modeling 
and Analysis for Spatial Data. Chapman & Hall / CRC, 2004.
- R. Bivand, E. Pebesma, V. Gomez-Rubio. Applied Spatial Data Analysis 
with R. Springer, 2008

Calendar:
Tuesday 7/3, 14:30-17:30, aula del Consiglio, seventh floor;
Kriging; Lecturer: Alessandra Menafoglio

Thursday 9/3, 10:00-13:00, aula Seminari, sixth floor;
Kriging; Lecturer: Alessandra Menafoglio

Tuesday 21/3, 14:30-17:30, aula Seminari, sixth floor;
Non-parametric techniques; Lecturer: Simone Vantini

Thursday 23/3, 14:30-17:30, aula Seminari, sixth floor;
Bayesian models for georeferenced data and areal data; Lecturer: 
Alessandra Guglielmi

Tuesday 28/3, 14:30-17:30, aula Seminari, sixth floor;
Numerical methods for the analysis of spatially distributed data; 
Lecturer: Laura Sangalli

Thursday 30/3, 14:30-17:30, aula Seminari, sixth floor;
Spatial regression with differential regularization; Lecturer: Laura 
Sangalli


People interested to attend are kindly requested to write an email to 
laura.sangalli at polimi.it


-- 
Laura Maria Sangalli
MOX - Dipartimento di Matematica
Politecnico di Milano
Piazza Leonardo da Vinci 32
20133 Milano - Italy
tel: +39 02 2399 4554
fax: +39 02 2399 4568
email: laura.sangalli at polimi.it
url: http://mox.polimi.it/~sangalli