A New Multivariate Markov Chain Model for Adding a New Categorical Data Sequence

Chao Wang, Ting-Zhu Huang and Wai-Ki Ching

Mathematical Problems in Engineering, 2014, vol. 2014, 1-8

Abstract:

We propose a new multivariate Markov chain model for adding a new categorical data sequence. The number of the parameters in the new multivariate Markov chain model is only (3 s ) less than the number of the parameters in the former multivariate Markov chain model. Numerical experiments demonstrate the benefits of the new multivariate Markov chain model on saving computational resources.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:502808

DOI: 10.1155/2014/502808

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