Toward Efficient Bayesian Approaches to Inference in Hierarchical Hidden Markov Models for Inferring Animal Behavior

Toward Efficient Bayesian Approaches to Inference in Hierarchical Hidden Markov Models for Inferring Animal Behavior

The study of animal behavioral states inferred through hidden Markov models and similar state switching models has seen a significant increase in popularity in recent years. The ability to account for varying levels of behavioral scale has become possible through hierarchical hidden Markov models, b...

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Bibliographic Details
Main Authors: Giada Sacchi, Ben Swallow
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Ecology and Evolution
Subjects:
parallel tempering
animal movement
hierarchical hidden Markov models
Bayesian inference
MCMC
Online Access:https://www.frontiersin.org/articles/10.3389/fevo.2021.623731/full

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