Hierarchical nonlinear spatio-temporal agent-based models for collective animal movement
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Publication:1680351
DOI10.1007/s13253-017-0289-2zbMath1388.62345OpenAlexW2660868805MaRDI QIDQ1680351
Christopher K. Wikle, Patrick L. McDermott, Joshua J. Millspaugh
Publication date: 15 November 2017
Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s13253-017-0289-2
hierarchical modelapproximate Bayesian computationnonlinear modelingagent-based modelscollective movementself-propelled particle model
Related Items (5)
Bayesian inverse reinforcement learning for collective animal movement ⋮ Guest editor's introduction to the special issue on ``Animal movement modeling ⋮ Statistical Implementations of Agent‐Based Demographic Models ⋮ Contextual movement models based on normalizing flows ⋮ Agent-based models for collective animal movement: proximity-induced state switching
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