The ‘aukward’ use of hidden Markov models in a pursuit-diving seabird: semi-supervised HMMs improve behavioural classification and energetic inference in auks
- DOI
- 10.1186/s40462-026-00658-6
- Published
- 2026-04-24
- Container
- Movement Ecology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s40462-026-00658-6,
title = {The ‘aukward’ use of hidden Markov models in a pursuit-diving seabird: semi-supervised HMMs improve behavioural classification and energetic inference in auks},
author = {Astrid Dedieu and Sam L. Cox and Jamie Darby and Manon Clairbaux and Mark Jessopp},
year = {2026},
journal = {Movement Ecology},
doi = {10.1186/s40462-026-00658-6},
url = {https://doi.org/10.1186/s40462-026-00658-6}
}RIS
TY - JOUR TI - The ‘aukward’ use of hidden Markov models in a pursuit-diving seabird: semi-supervised HMMs improve behavioural classification and energetic inference in auks AU - Astrid Dedieu AU - Sam L. Cox AU - Jamie Darby AU - Manon Clairbaux AU - Mark Jessopp PY - 2026 JO - Movement Ecology DO - 10.1186/s40462-026-00658-6 UR - https://doi.org/10.1186/s40462-026-00658-6 ER -
APA
Dedieu, A., Cox, S. L., Darby, J., Clairbaux, M., & Jessopp, M. (2026). The ‘aukward’ use of hidden Markov models in a pursuit-diving seabird: semi-supervised HMMs improve behavioural classification and energetic inference in auks. Movement Ecology. https://doi.org/10.1186/s40462-026-00658-6
Source records
- crossref · retrieved 2026-09-27T16:48:18.168Z