Robustness of movement models: can models bridge the gap between temporal scales of data sets and behavioural processes?

DOI10.1007/s00285-016-1005-5zbMath1350.92063arXiv1508.06523OpenAlexW2962763947WikidataQ31082153 ScholiaQ31082153MaRDI QIDQ338370

Ulrike E. Schlägel, Mark A. Lewis

Publication date: 4 November 2016

Published in: Journal of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1508.06523

zbMATH Keywords

parameter estimationMarkov modelsampling rateanimal movementGPS dataresource selection

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Sums of independent random variables; random walks (60G50) General biology and biomathematics (92B05) Animal behavior (92D50)

Related Items

A framework for analyzing the robustness of movement models to variable step discretization

Uses Software

• RandomFields
• WRS2

Cites Work

• A framework for analyzing the robustness of movement models to variable step discretization
• Sampling rate effects on measurements of correlated and biased random walks
• Minimax regression designs for approximately linear models with autocorrelated errors
• A General Qualitative Definition of Robustness
• Robust Statistics
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