This paper investigates a general family of models that stratifies the s...
In this paper we demonstrate how sub-Riemannian geometry can be used for...
By interpreting the product of the Principal Component Analysis, that is...
In this article, we develop an asymptotic method for testing hypothesis ...
Phylogenetic PCA (p-PCA) is a version of PCA for observations that are l...
This work addresses the problem of non-rigid registration of 3D scans, w...
In cases of pressure or volume overload, probing cardiac function may be...
In statistics, independent, identically distributed random samples do no...
Parallel transport is a fundamental tool to perform statistics on Rie-ma...
The asymptotic concentration of the Fréchet mean of IID random variables...
In computational anatomy, the statistical analysis of temporal deformati...
In this study we propose a deformation-based framework to jointly model ...
Radiological imaging offers effective measurement of anatomy, which is u...
Parallel transport is an important step in many discrete algorithms for
...
We introduce geomstats, a python package that performs computations on
m...
We use tools from geometric statistics to analyze the usual estimation
p...
To achieve sparse parametrizations that allows intuitive analysis, we ai...