School of Public Health
This group develops sophisticated statistical methodologies for analyzing large-scale spatio-temporal MRI or fMRI data. The statistical models they develop leverage the complexity in the data in order to extract rich information related to the phenomenon of interest. The types of statistical models include spatio-temporal models and data-driven nonparametric machine learning tools. Due to the complexity of these types of models, a large amount of computing resources is necessary in order to fit the models and assess their performance on the data. Examples of data analyzed include MRI and fMRI data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and the Minnesota Twin and Family Study (MTFS).