Improved order selection method for hidden Markov models: A case study with movement data

Abstract Hidden Markov models (HMMs) are a versatile statistical framework commonly used in ecology to characterize behavioural patterns from animal movement data. In HMMs, the observed data depend on a finite number of underlying hidden states, generally interpreted as the animal's unobserved...

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Bibliographic Details
Main Authors: Fanny Dupont, Marianne Marcoux, Nigel Hussey, Marie Auger‐Méthé
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:Methods in Ecology and Evolution
Subjects:
Online Access:https://doi.org/10.1111/2041-210X.70025
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