2 citations · 5 across the 4 of their papers we have counts for
4 papers
Scale dependence in hidden Markov models for animal movement
Théo Michelot, Emma Storey
Hidden Markov models (HMMs) have been used increasingly to understand how movement patterns of animals arise from behavioural states. An animal is assumed to transition between beh…
Detecting disease progression from animal movement using hidden Markov models
Dongmin Kim, Théo Michelot, Katherine Mertes +2
Understanding disease dynamics is crucial for managing wildlife populations and assessing spillover risk to domestic animals and humans, but infection data on free-ranging animals…
Understanding step selection analysis through numerical integration
Théo Michelot, Natasha J. Klappstein, Jonathan R. Potts +1
Step selection functions (SSFs) are flexible models to jointly describe animals' movement and habitat preferences. Their popularity has grown rapidly and extensions have been devel…
Markov-switching generalized additive models
Roland Langrock, Thomas Kneib, Richard Glennie +1
We consider Markov-switching regression models, i.e. models for time series regression analyses where the functional relationship between covariates and response is subject to regi…