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2013 A New Improved Parsimonious Multivariate Markov Chain Model
Chao Wang, Ting-Zhu Huang
J. Appl. Math. 2013: 1-10 (2013). DOI: 10.1155/2013/902972

Abstract

We present a new improved parsimonious multivariate Markov chain model. Moreover, we find a new convergence condition with a new variability to improve the prediction accuracy and minimize the scale of the convergence condition. Numerical experiments illustrate that the new improved parsimonious multivariate Markov chain model with the new convergence condition of the new variability performs better than the improved parsimonious multivariate Markov chain model in prediction.

Citation

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Chao Wang. Ting-Zhu Huang. "A New Improved Parsimonious Multivariate Markov Chain Model." J. Appl. Math. 2013 1 - 10, 2013. https://doi.org/10.1155/2013/902972

Information

Published: 2013
First available in Project Euclid: 14 March 2014

zbMATH: 1277.60120
MathSciNet: MR3032191
Digital Object Identifier: 10.1155/2013/902972

Rights: Copyright © 2013 Hindawi

Vol.2013 • 2013
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