Statistical shape analysis of brain arterial networks (BAN)

DOI10.1214/21-AOAS1536zbMath1498.62216arXiv2007.04793OpenAlexW3041629860MaRDI QIDQ2154222

Aditi Basu Bal, Xiaoyang Guo, Anuj Srivastava, Tom Needham

Publication date: 14 July 2022

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2007.04793

zbMATH Keywords

graph matchingstatistical shape analysisbrain artery networkgraph shape PCA

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Physiology (general) (92C30)

Cites Work

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• Functional and shape data analysis
• Geodesic PCA in the Wasserstein space by convex PCA
• A metric on shape space with explicit geodesics
• A principal component analysis for trees
• Statistical shape analysis of simplified neuronal trees
• A discrete framework to find the optimal matching between manifold-valued curves
• Statistics on the Stiefel manifold: theory and applications
• The statistical theory of shape
• A quotient space formulation for generative statistical analysis of graphical data
• Graph-valued regression: prediction of unlabelled networks in a non-Euclidean graph space
• Statistical analysis and modeling of the geometry and topology of plant roots
• The Quadratic Assignment Problem
• Statistical Shape Analysis, with Applications in R
• Assignment Problems and the Location of Economic Activities
• Phase-Amplitude Separation and Modeling of Spherical Trajectories
• Shape Manifolds, Procrustean Metrics, and Complex Projective Spaces
• An eigendecomposition approach to weighted graph matching problems
• Computable Elastic Distances Between Shapes
• Geodesic PCA versus Log-PCA of Histograms in the Wasserstein Space

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