Abstract
This doctoral thesis introduces a statistical framework for improving the early detection of Alzheimer’s disease using neuroimaging data, particularly Positron Emission Tomography. Its Functional Data Analysis approach treats images as continuous spatial surfaces rather than collections of independent voxels, enabling more coherent inference when disease-related changes are subtle and spatially diffuse.< Back to publications