Modeling the diving behavior of whales: a latent-variable approach with feedback and semi-Markovian components

DOI10.1007/s13253-013-0158-6zbMath1303.62082OpenAlexW2016655502WikidataQ60559672 ScholiaQ60559672MaRDI QIDQ486159

Tiago A. Marques, Robin W. Baird, Len Thomas, Roland Langrock

Publication date: 14 January 2015

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

Full work available at URL: https://doi.org/10.1007/s13253-013-0158-6

zbMATH Keywords

hidden Markov modelmaximum likelihooddistance samplingbehavioral statemovement model

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (5)

Flexible estimation of the state dwell-time distribution in hidden semi-Markov models ⋮ Multi-scale modeling of animal movement and general behavior data using hidden Markov models with hierarchical structures ⋮ Selecting the number of states in hidden Markov models: pragmatic solutions illustrated using animal movement ⋮ Modelling the sound production of narwhals using a point process framework with memory effects ⋮ Continuous-time discrete-state modeling for deep whale dives

Uses Software

• R

Cites Work

• Hidden Markov models with arbitrary state dwell-time distributions
• Flexible Latent-State Modelling of Old Faithful's Eruption Inter-Arrival Times in 2009
• Markov-Modulated Nonhomogeneous Poisson Processes for Modeling Detections in Surveys of Marine Mammal Abundance
• Using Hidden Markov Models to Deal with Availability Bias on Line Transect Surveys
• Modeling Time Series of Animal Behavior by Means of a Latent‐State Model with Feedback
• Discretized and Aggregated: Modeling Dive Depth of Harbor Seals from Ordered Categorical Data with Temporal Autocorrelation
• Mixed Hidden Markov Models
• Hidden Markov Models for Time Series

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