Large p small n Politecnico di Milano - Fondo 5xMille


Statistical learning
MOX responsible:
Simone Vantini
T. Passerini (Emory University, USA), A. Stamm (Irisa, France)
Start date:
End date:
Scientific documentation:
Inferential Statistical Tools for Life Science Data Analysis
The Large p Small n Project aims at providing inferential tools for the statistical analysis of data sets characterized by a large number of features observed on a small number of sample units. During the last decades, this kind of data have become very common in many active fields of research, such as medicine, engineering, climatology, and economics. The first application of the newly developed inferential procedures will be the statistical analysis of the brain vascular system with the final goal of detecting statistical associations between geometry, topology, hemodynamic space-time patterns and the onset and rupture of cerebral aneurysms.