Théo Michelot
@theomichelot.bsky.social
Assistant professor of statistics at Dalhousie University. Stochastic processes and applications in ecology. https://theomichelot.github.io/
Reposted by Théo Michelot
We've got a great plenary speaker lineup -- covering theoretical ecology, statistics, AI, conservation, disease ecology, animal movement, Bayesian stats, machine learning & more!
Deadline for workshops + round tables on Nov 15: statisticalecology.org (in English o en español)
Come join us!
Deadline for workshops + round tables on Nov 15: statisticalecology.org (in English o en español)
Come join us!
November 5, 2025 at 3:01 PM
We've got a great plenary speaker lineup -- covering theoretical ecology, statistics, AI, conservation, disease ecology, animal movement, Bayesian stats, machine learning & more!
Deadline for workshops + round tables on Nov 15: statisticalecology.org (in English o en español)
Come join us!
Deadline for workshops + round tables on Nov 15: statisticalecology.org (in English o en español)
Come join us!
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!
The next International Statistical Ecology Conference (ISEC) will take place in Mérida, México, on January 8-15, 2027. Very exciting!
The organisers are inviting submissions for workshops and round table discussions: statisticalecology.org (Deadline: November 15th)
The organisers are inviting submissions for workshops and round table discussions: statisticalecology.org (Deadline: November 15th)
Home - ISEC 2027
Call for Workshop Submissions, Deadline Nov 15th -- Submit Workshop Proposal Call for Roundtable Submissions, Deadline Nov 15th -- Submit Roundtable Proposal The International Statistical Ecology Conf...
statisticalecology.org
October 15, 2025 at 11:38 AM
The next International Statistical Ecology Conference (ISEC) will take place in Mérida, México, on January 8-15, 2027. Very exciting!
The organisers are inviting submissions for workshops and round table discussions: statisticalecology.org (Deadline: November 15th)
The organisers are inviting submissions for workshops and round table discussions: statisticalecology.org (Deadline: November 15th)
Reposted by Théo Michelot
🚨 New preprint!
Have you ever wondered if we can detect disease in wildlife just by looking at their movement?
We show how hidden Markov models can link animal trajectories to infection states — tested on reintroduced scimitar-horned oryx and simulated data.
👉 arxiv.org/abs/2509.21132
Have you ever wondered if we can detect disease in wildlife just by looking at their movement?
We show how hidden Markov models can link animal trajectories to infection states — tested on reintroduced scimitar-horned oryx and simulated data.
👉 arxiv.org/abs/2509.21132
Detecting disease progression from animal movement using hidden Markov models
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 are difficult to obt...
arxiv.org
September 26, 2025 at 1:49 AM
🚨 New preprint!
Have you ever wondered if we can detect disease in wildlife just by looking at their movement?
We show how hidden Markov models can link animal trajectories to infection states — tested on reintroduced scimitar-horned oryx and simulated data.
👉 arxiv.org/abs/2509.21132
Have you ever wondered if we can detect disease in wildlife just by looking at their movement?
We show how hidden Markov models can link animal trajectories to infection states — tested on reintroduced scimitar-horned oryx and simulated data.
👉 arxiv.org/abs/2509.21132
The hmmTMB paper is finally out in the Journal of Statistical Software!
An R package for hidden Markov models with random effects, flexible spline-based covariate effects, and fast inference using TMB or Stan.
Check out the GIthub repository for more examples.
doi.org/10.18637/jss...
An R package for hidden Markov models with random effects, flexible spline-based covariate effects, and fast inference using TMB or Stan.
Check out the GIthub repository for more examples.
doi.org/10.18637/jss...
hmmTMB: Hidden Markov Models with Flexible Covariate Effects in R by Théo Michelot
<p>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 behavior from human and animal...
doi.org
September 12, 2025 at 11:37 AM
The hmmTMB paper is finally out in the Journal of Statistical Software!
An R package for hidden Markov models with random effects, flexible spline-based covariate effects, and fast inference using TMB or Stan.
Check out the GIthub repository for more examples.
doi.org/10.18637/jss...
An R package for hidden Markov models with random effects, flexible spline-based covariate effects, and fast inference using TMB or Stan.
Check out the GIthub repository for more examples.
doi.org/10.18637/jss...
Reposted by Théo Michelot
Like to develop spatio-temporal models? Interested in Arctic marine mammals 🦭🐳 and their susceptibility to oil spills? You may be the postdoctoral fellow Dr. Mariane Marcoux and I are looking for! See the details in the job ad: tinyurl.com/spatiostatamm
September 5, 2025 at 7:30 PM
Like to develop spatio-temporal models? Interested in Arctic marine mammals 🦭🐳 and their susceptibility to oil spills? You may be the postdoctoral fellow Dr. Mariane Marcoux and I are looking for! See the details in the job ad: tinyurl.com/spatiostatamm
Reposted by Théo Michelot
History-changing day for labour relations at @dalhousieu.bsky.social. Lockout of faculty could begin as early as Wed morning. Rest assured, DFA members are ready for what is about to happen. #keepdalstrong @cupe3912.bsky.social @nsgeu.bsky.social @ansut.bsky.social @caut.bsky.social
August 18, 2025 at 4:55 PM
History-changing day for labour relations at @dalhousieu.bsky.social. Lockout of faculty could begin as early as Wed morning. Rest assured, DFA members are ready for what is about to happen. #keepdalstrong @cupe3912.bsky.social @nsgeu.bsky.social @ansut.bsky.social @caut.bsky.social
Reposted by Théo Michelot
New PhD position in our group! Join us to study gull foraging ecology at sea using GPS and accelerometry data! You will be working here Amsterdam Movement Ecology group under supervision of @judyshamounb.bsky.social, @rooskentie.bsky.social and me. Apply here werkenbij.uva.nl/en/vacancies...
Vacancy — PhD Position Gull Foraging Ecology in the North Sea - NO-REGRETS Project
Are you passionate about animal movement ecology? Interested in studying gull foraging ecology at sea? Apply for this unique PhD opportunity at the Department of Theoretical and Computational Ecology ...
werkenbij.uva.nl
June 13, 2025 at 10:41 AM
New PhD position in our group! Join us to study gull foraging ecology at sea using GPS and accelerometry data! You will be working here Amsterdam Movement Ecology group under supervision of @judyshamounb.bsky.social, @rooskentie.bsky.social and me. Apply here werkenbij.uva.nl/en/vacancies...
Reposted by Théo Michelot
The world is on 🔥 -- and here's my first publication in an astronomy journal: iopscience.iop.org/article/10.3...
We combine Gaussian processes + hidden Markov models to efficiently detect stellar flares in one modelling step. 🧪
We combine Gaussian processes + hidden Markov models to efficiently detect stellar flares in one modelling step. 🧪
January 31, 2025 at 2:26 AM
The world is on 🔥 -- and here's my first publication in an astronomy journal: iopscience.iop.org/article/10.3...
We combine Gaussian processes + hidden Markov models to efficiently detect stellar flares in one modelling step. 🧪
We combine Gaussian processes + hidden Markov models to efficiently detect stellar flares in one modelling step. 🧪
Reposted by Théo Michelot
All my ecology peeps slinging the GAM(M)s might find this paper interesting. I was surprised to learn there is a frequentist interpretation of GAM(M)s! (jk) besjournals.onlinelibrary.wiley.com/doi/full/10....
Bayesian views of generalized additive modelling
Generalized additive models (GAMs) are a frequently used, flexible framework applied to many problems in statistical ecology. They are commonly used to incorporate smooth effects into models via s...
besjournals.onlinelibrary.wiley.com
January 28, 2025 at 8:27 AM
All my ecology peeps slinging the GAM(M)s might find this paper interesting. I was surprised to learn there is a frequentist interpretation of GAM(M)s! (jk) besjournals.onlinelibrary.wiley.com/doi/full/10....
Reposted by Théo Michelot
Sina Mews, Roland Langrock, and I have updated 🆕 our review paper!
It offers a comprehensive overview on choosing the right time ⏰ and space 📏 formulation for latent Markov models, providing a unifying perspective on discrete- and continuous-time HMMs, SSMs and MMPPs.
👉 arxiv.org/abs/2406.19157
It offers a comprehensive overview on choosing the right time ⏰ and space 📏 formulation for latent Markov models, providing a unifying perspective on discrete- and continuous-time HMMs, SSMs and MMPPs.
👉 arxiv.org/abs/2406.19157
How to build your latent Markov model -- the role of time and space
Statistical models that involve latent Markovian state processes have become immensely popular tools for analysing time series and other sequential data. However, the plethora of model formulations, t...
arxiv.org
December 25, 2024 at 4:30 PM
Sina Mews, Roland Langrock, and I have updated 🆕 our review paper!
It offers a comprehensive overview on choosing the right time ⏰ and space 📏 formulation for latent Markov models, providing a unifying perspective on discrete- and continuous-time HMMs, SSMs and MMPPs.
👉 arxiv.org/abs/2406.19157
It offers a comprehensive overview on choosing the right time ⏰ and space 📏 formulation for latent Markov models, providing a unifying perspective on discrete- and continuous-time HMMs, SSMs and MMPPs.
👉 arxiv.org/abs/2406.19157
Reposted by Théo Michelot
Animal movement workshop alert! A line of speakers difficult to beat with John Fieberg, Marie Auger-Méthé, Brett McClintock & Inês Silva and the location is definitely a place that makes you "move" for it: lovely Madeira. 19-23 May 2025. Just after the ECS in Azores. It's PT islands 2025. See you?
Animal movement workshop
marcfer3.wixsite.com
December 23, 2024 at 7:29 PM
Animal movement workshop alert! A line of speakers difficult to beat with John Fieberg, Marie Auger-Méthé, Brett McClintock & Inês Silva and the location is definitely a place that makes you "move" for it: lovely Madeira. 19-23 May 2025. Just after the ECS in Azores. It's PT islands 2025. See you?
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...
Reposted by Théo Michelot
Recently discovered a fun webpage called Probability Playground where you can interactively explore probability distributions.
It’s helpful especially for distributions with parameters that are not immediately intuitive. Very cool!
www.acsu.buffalo.edu/~adamcunn/pr...
It’s helpful especially for distributions with parameters that are not immediately intuitive. Very cool!
www.acsu.buffalo.edu/~adamcunn/pr...
November 24, 2024 at 3:18 PM
Recently discovered a fun webpage called Probability Playground where you can interactively explore probability distributions.
It’s helpful especially for distributions with parameters that are not immediately intuitive. Very cool!
www.acsu.buffalo.edu/~adamcunn/pr...
It’s helpful especially for distributions with parameters that are not immediately intuitive. Very cool!
www.acsu.buffalo.edu/~adamcunn/pr...
Reposted by Théo Michelot
Here are some thoughts on teaching #statistics to non-statistical students, specifically those in #applied #ecology degrees. Thanks to Will Kay and Tiago Marques for an enjoyable (and not last) collaboration.
You can access the PDF here 👉 tinyurl.com/33keh22s
You can access the PDF here 👉 tinyurl.com/33keh22s
November 20, 2024 at 6:21 PM
Here are some thoughts on teaching #statistics to non-statistical students, specifically those in #applied #ecology degrees. Thanks to Will Kay and Tiago Marques for an enjoyable (and not last) collaboration.
You can access the PDF here 👉 tinyurl.com/33keh22s
You can access the PDF here 👉 tinyurl.com/33keh22s
Reposted by Théo Michelot
Going to test out the power of new followers! Does anyone here (or do you know anyone who) teach statistics (specifically GLMs) to primarily ecology/evolution/bio students and would be willing to potentially review a book proposal?
November 12, 2024 at 11:22 AM
Going to test out the power of new followers! Does anyone here (or do you know anyone who) teach statistics (specifically GLMs) to primarily ecology/evolution/bio students and would be willing to potentially review a book proposal?