2017
Regression Uncertainty on the Grassmannian
AISTATS 2017poster
Trends in longitudinal or cross-sectional studies over time are often captured through regression models. In their simplest manifestation, these regression models are formulated in $R^n$. However, in the context of imaging studies, the objects of interest which are to be regressed are frequently bes…