Tangent functional canonical correlation analysis for densities and shapes, with applications to multimodal imaging data
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Publication:2078531
DOI10.1016/j.jmva.2021.104870OpenAlexW3209376455MaRDI QIDQ2078531
Karthik Bharath, Min Ho Cho, Sebastian Kurtek
Publication date: 1 March 2022
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2103.01097
Directional data; spatial statistics (62H11) Functional data analysis (62R10) Multivariate analysis (62Hxx)
Uses Software
Cites Work
- An introduction to recent advances in high/infinite dimensional statistics
- Functional and shape data analysis
- Inference for functional data with applications
- On shape of plane elastic curves
- Functional data analysis
- Methods of canonical analysis for functional data.
- Recent advances in functional data analysis and high-dimensional statistics
- Canonical correlation analysis for irregularly and sparsely observed functional data
- Computable Elastic Distances Between Shapes
- Functional Models for Time-Varying Random Objects
- RELATIONS BETWEEN TWO SETS OF VARIATES
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