Reflected stochastic differential equation models for constrained animal movement
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Publication:1680357
DOI10.1007/s13253-017-0291-8zbMath1388.62342OpenAlexW2709730971MaRDI QIDQ1680357
Devin S. Johnson, Mevin B. Hooten, Ephraim M. Hanks
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/s13253-017-0291-8
Applications of statistics to environmental and related topics (62P12) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Animal behavior (92D50)
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Guest editor's introduction to the special issue on ``Animal movement modeling ⋮ Modeling collective animal movement through interactions in behavioral states ⋮ Imputation approaches for animal movement modeling ⋮ Reflected stochastic differential equation models for constrained animal movement ⋮ Bayesian inference for multistate `step and turn' animal movement in continuous time ⋮ Simplest random walk for approximating Robin boundary value problems and ergodic limits of reflected diffusions ⋮ Time-discretization approximation enriches continuous-time discrete-space models for animal movement ⋮ Crossover in spreading behavior due to memory in population dynamics ⋮ Can the Clocks Tick Together Despite the Noise? Stochastic Simulations and Analysis
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Cites Work
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- Dynamic social networks based on movement
- A general science-based framework for dynamical spatio-temporal models
- Computation of multivariate normal and \(t\) probabilities
- Employing stochastic differential equations to model wildlife motion
- A spatially varying stochastic differential equation model for animal movement
- Reflected stochastic differential equation models for constrained animal movement
- Euler scheme for reflected stochastic differential equations
- Agent-based inference for animal movement and selection
- Continuous-time discrete-space models for animal movement
- Inference in hidden Markov models.
- Models for Bounded Systems with Continuous Dynamics
- Particle Markov Chain Monte Carlo for Efficient Numerical Simulation
- Sequential Monte Carlo Samplers
- Modeling with Itô Stochastic Differential Equations
- A General Framework for the Analysis of Animal Resource Selection from Telemetry Data
- Circuit Theory and Model-Based Inference for Landscape Connectivity
- Hierarchical Spatiotemporal Matrix Models for Characterizing Invasions
- Understanding the Ensemble Kalman Filter
- Hidden Markov Models for Time Series
