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Analyzing dynamical brain functional connectivity as trajectories on space of covariance matrices
Human brain functional connectivity (FC) is often measured as the similarity of functional
MRI responses across brain regions when a brain is either resting or performing a task. This …
MRI responses across brain regions when a brain is either resting or performing a task. This …
Statistical shape analysis of brain arterial networks (BAN)
Statistical shape analysis of brain arterial networks (BAN) Page 1 The Annals of Applied
Statistics 2022, Vol. 16, No. 2, 1130–1150 https://doi.org/10.1214/21-AOAS1536 © Institute of …
Statistics 2022, Vol. 16, No. 2, 1130–1150 https://doi.org/10.1214/21-AOAS1536 © Institute of …
An information geometry approach to robustness analysis for the uncertainty quantification of computer codes
Robustness analysis is an emerging field in the uncertainty quantification domain. It involves
analyzing the response of a computer model—which has inputs whose exact values are …
analyzing the response of a computer model—which has inputs whose exact values are …
Intrinsic riemannian metrics on spaces of curves: Theory and computation
This chapter reviews some past and recent developments in shape comparison and
analysis of curves based on the computation of intrinsic Riemannian metrics on the space of …
analysis of curves based on the computation of intrinsic Riemannian metrics on the space of …
Computing distances and geodesics between manifold-valued curves in the SRV framework
AL Brigant - arxiv preprint arxiv:1601.02358, 2016 - arxiv.org
This paper focuses on the study of open curves in a Riemannian manifold M, and proposes
a reparametrization invariant metric on the space of such paths. We use the square root …
a reparametrization invariant metric on the space of such paths. We use the square root …
Automated characterization and monitoring of material shape using Riemannian geometry
Shape affects both the physical and chemical properties of a material. Characterizing the
roughness, convexity, and general geometry of a material can yield information on its …
roughness, convexity, and general geometry of a material can yield information on its …
Using a Riemannian elastic metric for statistical analysis of tumor cell shape heterogeneity
We examine how a specific instance of the elastic metric, the Square Root Velocity (SRV)
metric, can be used to study and compare cellular morphologies from the contours they form …
metric, can be used to study and compare cellular morphologies from the contours they form …
Learning from landmarks, curves, surfaces, and shapes in Geomstats
We introduce the shape module of the Python package Geomstats to analyze shapes of
objects represented as landmarks, curves and surfaces across fields of natural sciences and …
objects represented as landmarks, curves and surfaces across fields of natural sciences and …
Representation and characterization of nonstationary processes by dilation operators and induced shape space manifolds
M Dugast, G Bouleux, E Marcon - Entropy, 2018 - mdpi.com
We proposed in this work the introduction of a new vision of stochastic processes through
geometry induced by dilation. The dilation matrices of a given process are obtained by a …
geometry induced by dilation. The dilation matrices of a given process are obtained by a …
Functional inference on rotational curves under sample‐specific group actions and identification of human gait
FJE Telschow, MR Pierrynowski… - … Journal of Statistics, 2021 - Wiley Online Library
Inspired by the problem of gait reproducibility (reidentifying individuals across doctor's visits)
we develop two‐sample permutation tests under a sample‐specific group action on Lie …
we develop two‐sample permutation tests under a sample‐specific group action on Lie …