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Found 4 papers, 3 papers with code
Understanding step selection analysis through numerical integration
In this review, we explicitly distinguish between model formulation and inference technique, presenting a coherent framework to fit SSFs based on numerical integration and maximum likelihood estimation.
Varying-coefficient stochastic differential equations with applications in ecology
Stochastic differential equations (SDEs) are popular tools to analyse time series data in many areas, such as mathematical finance, physics, and biology.
Methodology
The Langevin diffusion as a continuous-time model of animal movement and habitat selection
Standard approximation techniques can be used to derive the pseudo-likelihood of the Langevin diffusion movement model, and to estimate habitat preference and movement parameters from tracking data.
Applications Methodology
Linking resource selection and step selection models for habitat preferences in animals
We illustrate our method with simulations on a known utilisation distribution, and show theoretically and empirically that locations simulated from the local Gibbs sampler arise from the correct resource selection function.
Quantitative Methods Populations and Evolution
