Bayesian linear size-and-shape regression with applications to face data
Regression models for size-and-shape analysis are developed, where the model is specified in the Euclidean space of the landmark coordinates. Statistical models in this space (which is known as the top space or ambient space) are often easier for practitioners to understand than alternative models i...
| Main Authors: | , , |
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| Format: | Article |
| Published: |
Springer
2018
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| Online Access: | https://eprints.nottingham.ac.uk/52985/ |