Théo Michelot
@theomichelot.bsky.social
Assistant professor of statistics at Dalhousie University. Stochastic processes and applications in ecology. https://theomichelot.github.io/
We have a preprint about modelling three-dimensional movement tracks, led by @njklappstein.bsky.social.
The model takes the form of a step selection function and, just like in 2D, it can include directional persistence, attraction to targets, and habitat selection.
doi.org/10.1101/2025...
The model takes the form of a step selection function and, just like in 2D, it can include directional persistence, attraction to targets, and habitat selection.
doi.org/10.1101/2025...
December 2, 2025 at 3:07 PM
We have a preprint about modelling three-dimensional movement tracks, led by @njklappstein.bsky.social.
The model takes the form of a step selection function and, just like in 2D, it can include directional persistence, attraction to targets, and habitat selection.
doi.org/10.1101/2025...
The model takes the form of a step selection function and, just like in 2D, it can include directional persistence, attraction to targets, and habitat selection.
doi.org/10.1101/2025...
moveHMM version 1.0 turns 10 today 🎉 Such a fun 10 years; exchanging with folks who use the package (and its extensions) has been one of the best parts of my job!
October 23, 2025 at 1:18 PM
moveHMM version 1.0 turns 10 today 🎉 Such a fun 10 years; exchanging with folks who use the package (and its extensions) has been one of the best parts of my job!
Updated vignette on Bayesian inference for hidden Markov models with hmmTMB: specifying priors, extracting posterior samples, visualising posterior uncertainty for estimated distributions and covariate-parameter relationships, etc.
Based on Stan, so it's pretty fast too!
github.com/TheoMichelot...
Based on Stan, so it's pretty fast too!
github.com/TheoMichelot...
December 9, 2024 at 6:31 PM
Updated vignette on Bayesian inference for hidden Markov models with hmmTMB: specifying priors, extracting posterior samples, visualising posterior uncertainty for estimated distributions and covariate-parameter relationships, etc.
Based on Stan, so it's pretty fast too!
github.com/TheoMichelot...
Based on Stan, so it's pretty fast too!
github.com/TheoMichelot...