Journal of Applied Mathematics (Jan 2013)

A New Improved Parsimonious Multivariate Markov Chain Model

  • Chao Wang,
  • Ting-Zhu Huang

DOI
https://doi.org/10.1155/2013/902972
Journal volume & issue
Vol. 2013

Abstract

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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.