Dynamic models of animal movement with spatial point process interactions
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Publication:736727
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
state-space modelcollective motion\textit{Poecilia reticulata}auxiliary variable MCMC algorithmbiased correlated random walkgroup navigation
Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Monte Carlo methods (65C05)
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Cites Work
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- Bayesian computation for statistical models with intractable normalizing constants
- Markov chain Monte Carlo: can we trust the third significant figure?
- Temporal variation and scale in movement-based resource selection functions
- A double Metropolis–Hastings sampler for spatial models with intractable normalizing constants
- Fixed-Width Output Analysis for Markov Chain Monte Carlo
- An attraction–repulsion point process model for respiratory syncytial virus infections
- A General Framework for the Analysis of Animal Resource Selection from Telemetry Data
- Exact sampling with coupled Markov chains and applications to statistical mechanics
- An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants
