Multi-scale modeling of animal movement and general behavior data using hidden Markov models with hierarchical structures

DOI10.1007/s13253-017-0282-9zbMath1388.62343arXiv1702.03597OpenAlexW2588010031WikidataQ57634050 ScholiaQ57634050MaRDI QIDQ1680344

Vianey Leos-Barajas, Timo Adam, Floris M. van Beest, Eric J. Gangloff, Roland Langrock, Jacob Nabe-Nielsen, Juan Manuel Morales

Publication date: 15 November 2017

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1702.03597

zbMATH Keywords

experimental designlatent processanimal behaviortemporal resolutionbio-loggingstate-switching model

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Markov processes: estimation; hidden Markov models (62M05) Animal behavior (92D50)

Related Items (3)

Guest editor's introduction to the special issue on ``Animal movement modeling ⋮ Spline‐based nonparametric inference in general state‐switching models ⋮ The conditionally autoregressive hidden Markov model (CarHMM): inferring behavioural states from animal tracking data exhibiting conditional autocorrelation

Uses Software

• R
• diveMove

Cites Work

• Hidden Markov models with arbitrary state dwell-time distributions
• Modeling the diving behavior of whales: a latent-variable approach with feedback and semi-Markovian components
• The hierarchical hidden Markov model: Analysis and applications
• Statistical modelling of individual animal movement: an overview of key methods and a discussion of practical challenges
• Selecting the number of states in hidden Markov models: pragmatic solutions illustrated using animal movement
• A multivariate mixed hidden Markov model for blue whale behaviour and responses to sound exposure
• Nonparametric inference in hidden Markov models using P‐splines
• Statistically accurate low-order models for uncertainty quantification in turbulent dynamical systems
• Hidden Markov Models for Time Series

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