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)
|
Text
181828.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. 3MB |
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, Prof 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 |
University Staff: Request a correction | Enlighten Editors: Update this record
Altmetric
Altmetric