3 papers
stat.AP2025
Multiscale modelling of animal movement with persistent dynamics
Théo Michelot, Ephraim M. Hanks
Wild animals are commonly fitted with trackers that record their position through time, and statistical models for tracking data broadly fall into two categories: models focused on…
q-bio.QM2025
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…
stat.ME2025
hmmTMB: hidden Markov models with flexible covariate effects in R
Théo Michelot
Hidden Markov models (HMMs) are widely applied in studies where a discrete-valued process of interest is observed indirectly. They have for example been used to model behaviour fro…