Bayesian linear size-and-shape regression with applications to face data

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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...

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Bibliographic Details
Main Authors:	Dryden, Ian L., Kim, Kwang-Rae, Le, Huiling
Format:	Article
Published:	Springer 2018
Online Access:	https://eprints.nottingham.ac.uk/52985/

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