A New Improved Parsimonious Multivariate Markov Chain Model | Zendy

Chao Wang | Zendy; TingZhu Huang | Zendy

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A New Improved Parsimonious Multivariate Markov Chain Model

Author(s) -

Chao Wang,

TingZhu Huang

Publication year - 2013

Publication title -

journal of applied mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.307

H-Index - 43

eISSN - 1687-0042

pISSN - 1110-757X

DOI - 10.1155/2013/902972

Subject(s) - multivariate statistics , markov chain , convergence (economics) , variable order markov model , computer science , markov model , multivariate analysis , mathematics , econometrics , statistics , economics , economic growth

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

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