Hidden Markov Models for Time Series: An Introduction Using R, Second Edition (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
by Walter Zucchini, Iain L. Macdonald, Roland Langrock
This second edition offers an introduction to hidden Markov models for time-series analysis using R. Designed for readers exploring statistics and applied probability, it combines a focused treatment of the subject with a computational perspective, making it a useful reference for studying model-based analysis of sequential data.
About This Book
Hidden Markov models provide a framework for analyzing time-series data when the underlying process is not directly observed.
This second edition introduces the subject using R, connecting statistical concepts with practical computational work.
Written by Walter Zucchini, Iain L. Macdonald, and Roland Langrock, the book belongs to the Chapman & Hall/CRC Monographs on Statistics and Applied Probability series.
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