Hidden Markov and semi-Markov models when and why are these models useful for classifying states in time series data?

DOI10.1007/s13253-021-00483-xOpenAlexW4205892261MaRDI QIDQ2163529

Sofia Ruiz-Suarez, Vianey Leos-Barajas, Juan Manuel Morales

Publication date: 10 August 2022

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

Full work available at URL: https://arxiv.org/abs/2105.11490

zbMATH Keywords

classificationanimal behaviortemporal dependencemovement ecology

Mathematics Subject Classification ID

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

Uses Software

• R
• Stan

Cites Work

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• SOME PROPERTIES OF VECTOR AUTOREGRESSIVE PROCESSES WITH MARKOV-SWITCHING COEFFICIENTS
• Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
• Hidden Markov Models for Time Series
• Stationarity of multivariate Markov-switching ARMA models
• The elements of statistical learning. Data mining, inference, and prediction
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