Dynamic models of animal movement with spatial point process interactions

DOI10.1007/s13253-015-0219-0zbMath1342.62179arXiv1503.08692OpenAlexW897556217WikidataQ108369603 ScholiaQ108369603MaRDI QIDQ736727

James C. Russell, Murali Haran, Ephraim M. Hanks

Publication date: 5 August 2016

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1503.08692

zbMATH Keywords

state-space modelcollective motion\textit{Poecilia reticulata}auxiliary variable MCMC algorithmbiased correlated random walkgroup navigation

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Monte Carlo methods (65C05)

Related Items

Statistical modelling of individual animal movement: an overview of key methods and a discussion of practical challenges ⋮ Bayesian inverse reinforcement learning for collective animal movement ⋮ Hierarchical nonlinear spatio-temporal agent-based models for collective animal movement ⋮ Modeling collective animal movement through interactions in behavioral states

Uses Software

• SwisTrack

Cites Work

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