A phylogenetic Gaussian process model for the evolution of curves embedded in d-dimensions

Marinas-Collado, I., Bowman, A. and Macaulay, V. (2019) A phylogenetic Gaussian process model for the evolution of curves embedded in d-dimensions. Computational Statistics and Data Analysis, 137, pp. 285-298. (doi: 10.1016/j.csda.2019.03.002)

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Abstract

Statistical methods which enable shape information on organisms to be used to construct a phylogenetic tree and to learn how shape evolves are developed. In particular, this allows the evolution of facial curves to be used in studying relationships between and within different ethnic groups and their ancestors. The main challenge is to exploit the details of surface shape, while maintaining computational feasibility. A Gaussian process approach is adopted.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Bowman, Professor Adrian and Macaulay, Dr Vincent and Marinas, Ms Irene
Authors: Marinas-Collado, I., Bowman, A., and Macaulay, V.
College/School:College of Science and Engineering > School of Mathematics and Statistics
College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Computational Statistics and Data Analysis
Publisher:Elsevier
ISSN:0167-9473
ISSN (Online):1872-7352
Published Online:18 March 2019
Copyright Holders:Copyright © 2019 Elsevier
First Published:First published in Computational Statistics and Data Analysis 137:285-298
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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