A Study on Discrete-Time Movement Models

Paun, I., Husmeier, D. and Torney, C. (2019) A Study on Discrete-Time Movement Models. In: International Conference on Statistics: Theory and Applications (ICSTA’19), Lisbon, Portugal, 13-14 Aug 2019, p. 27. ISBN 9781927877647 (doi: 10.11159/icsta19.27)

[img]
Preview
Text
193800.pdf - Published Version

337kB

Abstract

Understanding animal movement is an important challenge in ecology, with improvement in tagging technology permitting the collection of data on an increasingly wide range of species. Consequently, methodologies for statistical analysis of such data has received considerable attention in recent years. Discrete-time random walks are the foundation of the movement data models. The advantages of the discrete-time movement models are that they are intuitive and easily implemented, however the specification of the discretization step is often problematic and must be done in advance. Misspecification of the discretization step might lead to a model mismatch and thus choosing an appropriate test statistic to capture the model mismatch is essential.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Husmeier, Professor Dirk and Torney, Professor Colin and Paun, Ionut
Authors: Paun, I., Husmeier, D., and Torney, C.
Subjects:Q Science > QA Mathematics
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
ISSN:2562-7767
ISBN:9781927877647
Copyright Holders:Copyright © 2019 International ASET Inc.
First Published:First published in Proceedings of the International Conference on Statistics: Theory and Applications (ICSTA’19): 27
Publisher Policy:Reproduced in accordance with the publisher copyright policy
Related URLs:

University Staff: Request a correction | Enlighten Editors: Update this record