Hidden Markov models: Pitfalls and opportunities in ecology

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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Bibliographic Details
Main Authors: Richard Glennie, Timo Adam, Vianey Leos‐Barajas, Théo Michelot, Theoni Photopoulou, Brett T. McClintock
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Methods in Ecology and Evolution
Subjects:
animal movement
continuous time
hidden Markov model
hierarchical model
population ecology
random effects
Online Access:https://doi.org/10.1111/2041-210X.13801

Internet

https://doi.org/10.1111/2041-210X.13801

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