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Hidden Markov models: Pitfalls and opportunities in ecology

Abstract Hidden Markov models (HMMs) and their extensions are attractive methods for analysing ecological data where noisy, multivariate measurements are made of a hidden, ecological process, and where this hidden process is represented by a sequence of discrete states. Yet, as these models become m...

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Principais autores: Richard Glennie, Timo Adam, Vianey Leos‐Barajas, Théo Michelot, Theoni Photopoulou, Brett T. McClintock
Formato: Artigo
Idioma:Inglês
Publicado em: Wiley 2023-01-01
coleção:Methods in Ecology and Evolution
Assuntos:
animal movement
continuous time
hidden Markov model
hierarchical model
population ecology
random effects
Acesso em linha:https://doi.org/10.1111/2041-210X.13801
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