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 | 403 | 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 | 305 | 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 | 104 | 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 | 74 | 2017 |
State‐switching continuous‐time correlated random walks T Michelot, PG Blackwell Methods in Ecology and Evolution 10 (5), 637-649, 2019 | 62 | 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 | 61 | 2023 |
Linking resource selection and step selection models for habitat preferences in animals T Michelot, PG Blackwell, J Matthiopoulos Ecology 100 (1), e02452, 2019 | 54 | 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 | 46 | 2019 |
Markov-switching generalized additive models R Langrock, T Kneib, R Glennie, T Michelot Statistics and Computing 27, 259-270, 2017 | 43 | 2017 |
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 | 31 | 2021 |
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 | 30 | 2019 |
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 | 27 | 2020 |
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 | 24 | 2021 |
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 | 24 | 2019 |
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 | 21 | 2020 |
Inference in MCMC step selection models T Michelot, PG Blackwell, S Chamaillé-Jammes, J Matthiopoulos Biometrics 76 (2), 438-447, 2020 | 20 | 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 | 20 | 2018 |
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 | 18 | 2022 |
Flexible hidden Markov models for behaviour-dependent habitat selection NJ Klappstein, L Thomas, T Michelot Movement Ecology 11 (1), 30, 2023 | 16 | 2023 |
Semiparametric stochastic volatility modelling using penalized splines R Langrock, T Michelot, A Sohn, T Kneib Computational Statistics 30, 517-537, 2015 | 15 | 2015 |