In this introduction, the authors apply 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 observations.
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In this introduction, the authors apply 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 observations.
Read Less
Add this copy of Hidden Markov Models for Time Series: an Introduction to cart. $116.02, new condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 2021 by Chapman and Hall/CRC.
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