424 citations · 459 across the 13 of their papers we have counts for
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Inference in MCMC step selection models
Théo Michelot, Paul G. Blackwell, Simon Chamaillé-Jammes +1
Habitat selection models are used in ecology to link the distribution of animals to environmental covariates, and identify habitats that are important for conservation. The most wi…
The Langevin diffusion as a continuous-time model of animal movement and habitat selection
Théo Michelot, Marie-Pierre Etienne, Pierre Gloaguen
1. The utilisation distribution describes the relative probability of use of a spatial unit by an animal. It is natural to think of it as the long-term consequence of the animal's…
State-switching continuous-time correlated random walks
Théo Michelot, Paul G. Blackwell
Continuous-time models have been developed to capture features of animal movement across temporal scales. In particular, one popular model is the continuous-time correlated random…
An Introduction to Animal Movement Modeling with Hidden Markov Models using Stan for Bayesian Inference
Vianey Leos-Barajas, Théo Michelot
Hidden Markov models (HMMs) are popular time series model in many fields including ecology, economics and genetics. HMMs can be defined over discrete or continuous time, though her…