collaborators

5 papers

stat.ME2020

Varying-coefficient stochastic differential equations with applications in ecology

Théo Michelot, Richard Glennie, Catriona Harris +1

Stochastic differential equations (SDEs) are popular tools to analyse time series data in many areas, such as mathematical finance, physics, and biology. They provide a mechanistic…

stat.AP2018

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…

stat.AP2018

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…

q-bio.QM2018

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…

q-bio.QM2018

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…