Statistical Analysis of Locally Parameterized Shapes

DOI10.1080/10618600.2022.2116445arXiv2109.03027MaRDI QIDQ6094095

Jörn Schulz, Unnamed Author

Publication date: 9 October 2023

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2109.03027

zbMATH Keywords

skeletal representationParkinson's diseaselocal coordinate systemshape alignmentlocal dissimilaritys-rep hypothesis testing

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Functional and shape data analysis
• Medial representations. Mathematics, algorithms and applications
• Exploring uses of persistent homology for statistical analysis of landmark-based shape data
• Metrics for 3D rotations: comparison and analysis
• Statistical decision theory and Bayesian analysis. 2nd ed
• Kurtosis test of modality for rotationally symmetric distributions on hyperspheres
• Swept regions and surfaces: Modeling and volumetric properties
• Backwards principal component analysis and principal nested relations
• An Invariant Approach to Statistical Analysis of Shapes
• Statistical Shape Analysis, with Applications in R
• Analysis of principal nested spheres
• Small‐sphere distributions for directional data with application to medical imaging
• Persistent homology transform for modeling shapes and surfaces
• Means and Averaging in the Group of Rotations
• Nested Sphere Statistics of Skeletal Models
• Pivotal Bootstrap Methods fork-Sample Problems in Directional Statistics and Shape Analysis

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