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Found 4 papers, 1 papers with code
Modeling Longitudinal Data on Riemannian Manifolds
When considering functional principal component analysis for sparsely observed longitudinal data that take values on a nonlinear manifold, a major challenge is how to handle the sparse and irregular observations that are commonly encountered in longitudinal studies.
Methodology
Additive Models for Symmetric Positive-Definite Matrices, Riemannian Manifolds and Lie groups
The additive model for responses in the space of symmetric positive-definite matrices with either of these metrics is shown to connect to an additive model on a tangent space.
Methodology Statistics Theory Statistics Theory 62G08, 62R30
Causal Inference on Distribution Functions
Understanding causal relationships is one of the most important goals of modern science.
Causal Inference
Methodology
Semi-supervised Fréchet Regression
This paper explores the field of semi-supervised Fr\'echet regression, driven by the significant costs associated with obtaining non-Euclidean labels.
