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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2017
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| 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 |