This workshop will bring together speakers who are actively developing new approaches for modeling and analyzing brain imaging data. The talks broadly address current challenges to modeling brain processes, which are complex in nature. The topics will cover fitting high-dimensional models, extracting summaries from high-dimensional structures, modeling associations between imaging and clinical outcomes and advances in computation and statistical inference for big data.  

This workshop is jointly organized by the Section on Imaging of the American Statistical Association and the Department of Statistical Sciences, Sapienza University of Rome.

We gratefully acknowledge the Journal METRON as the sponsor of this workshop, and the DigiLab of Sapienza for the use of the facilities. 

There is no registration fee but, due to space limitation, you need to register in advance (go to the registration page)