Intrinsic Regression Models for Positive-Definite Matrices With Applications to Diffusion Tensor Imaging
Intrinsic Regression Models for Positive-Definite Matrices With Applications to Diffusion Tensor Imaging
The aim of this paper is to develop an intrinsic regression model for the analysis of positive-definite matrices as responses in a Riemannian manifold and their association with a set of covariates, such as age and gender, in a Euclidean space. The primary motivation and application of the proposed methodology …