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Functional and shape data analysis /
This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. Covering a broad range of ideas from different disciplines, it is aimed at graduate students in analy...
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| Format: | Printed Book |
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Springer
2016
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| Series: | Springer series in statistics,
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Table of Contents:
- Motivation for function and shape analysis
- Previous techniques in shape analysis
- Background : relevant tools from geometry
- Functional data and elastic registration
- Shapes of planar curves
- Shapes of planar closed curves
- Statistical modeling on nonlinear manifolds
- Statistical modeling of functional data
- Statistical modeling of planar shapes
- Shapes of curves in higher dimensions
- Related topics in shape analysis of curves
- Background material
- The dynamic programming algorithm.