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@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@polimi.it url: http://mox.polimi.it/~sangalli