A Tridiagonal Parsimonious Higher Order Multivariate Markov Chain Model with New Convergence Condition

DOI

10.2991/icadme-17.2017.54How to use a DOI?

Keywords

Higher-order multivariate Markov chains; Categorical data sequences; Convergence condition.

Abstract

In this paper, we present a tri-diagonal parsimonious higher-order multivariate Markov chain model with new convergence condition. (TPHOMMCM-NCC). Moreover, the estimation method of the parameters in TP-HOMMCM is given. Numerical experiments illustrate the effectiveness of TPHOMMCM-NCC.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liu Kou
AU  - Chuan-Sheng Yang
AU  - Chao Wang
PY  - 2017/07
DA  - 2017/07
TI  - A Tridiagonal Parsimonious Higher Order Multivariate Markov Chain Model with New Convergence Condition
BT  - Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 276
EP  - 280
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-17.2017.54
DO  - 10.2991/icadme-17.2017.54
ID  - Kou2017/07
ER  -