Multivariate general linear models (MGLM) on Riemannian manifolds with applications to statistical analysis of diffusion weighted images

Keyphrases

• Statistical Analysis 100%
• Diffusion-weighted Image 100%
• Riemannian Manifold 100%
• Multivariate General Linear Model 100%
• Principal Coordinate Analysis (PCoA) 50%
• Operating Range 50%
• High Angular Resolution 50%
• Shape Analysis 50%
• Orientation Distribution Function 50%
• Linear Regression 50%
• Parametric Model 50%
• Medical Imaging 50%
• Regress 50%
• Diffusion Tensor Image 50%
• Topic Modeling 50%
• Dictionary Learning 50%
• Regression Task 50%
• David Hilbert 50%
• Open Source Code 50%
• Geodesic Basis 50%
• Maximum Margin Classification 50%
• Variational Algorithm 50%
• Parametric Regression 50%
• Gradient Update 50%
• Multivariate multiple Linear Regression 50%
• GL(n) 50%

Mathematics

• Manifold 100%
• Statistical Analysis 100%
• General Linear Model 100%
• Riemannian Manifolds 100%
• Dependent Variable 16%
• Voxel 16%
• Parametric 16%
• Tensor 16%
• Multiple Linear Regression 16%
• Parametric Model 16%
• Unit Sphere 16%
• Linear Regression Analysis 16%
• Distribution Function 16%
• Principal Component Analysis 16%