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Cited by 440

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Hidden Markov Models for Time Series: An Introduction Using R

Zucchini, Walter, MacDonald, Iain L.·2009·Chapman & Hall/CRC eBooks

Abstract

Reveals How HMMs Can Be Used as General-Purpose Time Series ModelsImplements all methods in RHidden Markov Models for Time Series: An Introduction Using R applies hidden Markov models (HMMs) to a wide range of time series types, from continuous-valued, circular, and multivariate series to binary data, bounded and unbounded counts, and categorical o

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Metadata

Authors
Zucchini, W., & MacDonald, I. L.
Venue
Chapman & Hall/CRC eBooks
Published
2009-04-28
OpenAlex
W4240912299
Cited by
440
References
0
FWCI
3.88
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Hidden Markov Models for Time Series: An Introduction Using R. https://app.cochat.ai/papers/10.1201/9781420010893
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Zucchini, W., & MacDonald, I. L. (2009). Hidden Markov Models for Time Series: An Introduction Using R. Chapman & Hall/CRC eBooks. https://doi.org/10.1201/9781420010893

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.