Théo Michelot
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moveHMM: an R package for the statistical modelling of animal movement data using hidden Markov models
T Michelot, R Langrock, TA Patterson
Methods in Ecology and Evolution 7 (11), 1308-1315, 2016
momentuHMM: R package for generalized hidden Markov models of animal movement
BT McClintock, T Michelot
Methods in Ecology and Evolution 9 (6), 1518-1530, 2018
Understanding the ontogeny of foraging behaviour: insights from combining marine predator bio-logging with satellite-derived oceanography in hidden Markov models
WJ Grecian, JV Lane, T Michelot, HM Wade, KC Hamer
Journal of the Royal Society Interface 15 (143), 20180084, 2018
Estimation and simulation of foraging trips in land‐based marine predators
T Michelot, R Langrock, S Bestley, ID Jonsen, T Photopoulou, ...
Ecology 98 (7), 1932-1944, 2017
State‐switching continuous‐time correlated random walks
T Michelot, PG Blackwell
Methods in Ecology and Evolution 10 (5), 637-649, 2019
Hidden Markov models: Pitfalls and opportunities in ecology
R Glennie, T Adam, V Leos‐Barajas, T Michelot, T Photopoulou, ...
Methods in Ecology and Evolution 14 (1), 43-56, 2023
Linking resource selection and step selection models for habitat preferences in animals
T Michelot, PG Blackwell, J Matthiopoulos
Ecology 100 (1), e02452, 2019
Fine-scale movement patterns and behavioral states of gray triggerfish Balistes capriscus determined from acoustic telemetry and hidden Markov models
NM Bacheler, T Michelot, RT Cheshire, KW Shertzer
Fisheries Research 215, 76-89, 2019
Markov-switching generalized additive models
R Langrock, T Kneib, R Glennie, T Michelot
Statistics and Computing 27, 259-270, 2017
The Langevin diffusion as a continuous‐time model of animal movement and habitat selection
T Michelot, P Gloaguen, PG Blackwell, MP Étienne
Methods in ecology and evolution 10 (11), 1894-1907, 2019
Hidden Markov models identify major movement modes in accelerometer and magnetometer data from four albatross species
MG Conners, T Michelot, EI Heywood, RA Orben, RA Phillips, ...
Movement ecology 9, 1-16, 2021
Understanding decision making in a food-caching predator using hidden Markov models
MS Farhadinia, T Michelot, PJ Johnson, LTB Hunter, DW Macdonald
Movement ecology 8, 1-13, 2020
Slowing down wolves to protect boreal caribou populations: a spatial simulation model of linear feature restoration
MC Spangenberg, R Serrouya, M Dickie, CA DeMars, T Michelot, ...
Ecosphere 10 (10), e02904, 2019
Varying-coefficient stochastic differential equations with applications in ecology
T Michelot, R Glennie, C Harris, L Thomas
Journal of Agricultural, Biological and Environmental Statistics 26, 446-463, 2021
Assigning fates in telemetry studies using hidden Markov models: an application to deepwater groupers released with descender devices
BJ Runde, T Michelot, NM Bacheler, KW Shertzer, JA Buckel
North American Journal of Fisheries Management 40 (6), 1417-1434, 2020
An introduction to animal movement modeling with hidden Markov models using Stan for Bayesian inference
V Leos-Barajas, T Michelot
arXiv preprint arXiv:1806.10639, 2018
Inference in MCMC step selection models
T Michelot, PG Blackwell, S Chamaillé-Jammes, J Matthiopoulos
Biometrics 76 (2), 438-447, 2020
Flexible hidden Markov models for behaviour-dependent habitat selection
NJ Klappstein, L Thomas, T Michelot
Movement Ecology 11 (1), 30, 2023
Energy‐based step selection analysis: Modelling the energetic drivers of animal movement and habitat use
NJ Klappstein, JR Potts, T Michelot, L Börger, NW Pilfold, MA Lewis, ...
Journal of Animal Ecology 91 (5), 946-957, 2022
Semiparametric stochastic volatility modelling using penalized splines
R Langrock, T Michelot, A Sohn, T Kneib
Computational Statistics 30, 517-537, 2015
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Artículos 1–20