Incorporating periodic variability in hidden Markov models for animal movement

BACKGROUND: Clustering time-series data into discrete groups can improve prediction and provide insight into the nature of underlying, unobservable states of the system. However, temporal variation in probabilities of group occupancy, or the rates at which individuals move between groups, can obscur...

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Detalles Bibliográficos
Autores principales: Li, Michael, Bolker, Benjamin M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5270370/
https://www.ncbi.nlm.nih.gov/pubmed/28149522
http://dx.doi.org/10.1186/s40462-016-0093-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5270370/
https://www.ncbi.nlm.nih.gov/pubmed/28149522
http://dx.doi.org/10.1186/s40462-016-0093-6

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