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2013 | OriginalPaper | Buchkapitel

6. Higher-Order Markov Chains

verfasst von : Wai-Ki Ching, Ximin Huang, Michael K. Ng, Tak-Kuen Siu

Erschienen in: Markov Chains

Verlag: Springer US

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Abstract

Data sequences or time series occur frequently in many real world applications. One of the most important steps in analyzing a data sequence (or time series) is the selection of an appropriate mathematical model for the data. This is because it helps in predictions, hypothesis testing and rule discovery.

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Titel: Higher-Order Markov Chains
verfasst von: Wai-Ki Ching
Ximin Huang
Michael K. Ng
Tak-Kuen Siu
Verlag: Springer US
Buch: Markov Chains
Print ISBN: 978-1-4614-6311-5

Electronic ISBN: 978-1-4614-6312-2

Copyright-Jahr: 2013
DOI: https://doi.org/10.1007/978-1-4614-6312-2_6