Integral Fractional Ornstein−Uhlenbeck Processes Model and their Applications for Animal Movement
Abstract Number:
2885
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Paper
Participants:
Jose Hermenegildo Ramirez Gonzalez (1), Ying Sun (1)
Institutions:
(1) King Abdullah University of Science and Technology, N/A
Co-Author:
Ying Sun
King Abdullah University of Science and Technology
First Author:
Presenting Author:
Abstract Text:
Modeling the trajectories of animals is challenging due to the complexity of their behaviors, the influence of unpredictable environmental factors, individual variability, and the lack of detailed data on their movements. Additionally, factors such as migration, hunting, reproduction, and social interactions add additional layers of complexity when attempting to accurately forecast their movements. In the literature, various models exits that aim to study animal telemetry, by modeling the velocity of the telemetry, the telemetry itself or both processes jointly through a Markovian process. In this work, we propose to model the velocity of each coordinate axis for animal telemetry data as a fractional Ornstein-Uhlenbeck (fOU) process. Then, the integral fOU process models position data in animal telemetry. Compared to traditional methods, the proposed model is flexible in modeling long-range memory.
Keywords:
Animal tracking|fractional Brownian motion|Gaussian process simulations|telemetry data|trajectory prediction|
Sponsors:
Section on Statistics and the Environment
Tracks:
Miscellaneous
Can this be considered for alternate subtype?
Yes
Are you interested in volunteering to serve as a session chair?
Yes
I have read and understand that JSM participants must abide by the Participant Guidelines.
Yes
I understand that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is non-refundable.
I understand
You have unsaved changes.