On Perturbation Bounds for the Joint Stationary Distribution of Multivariate Markov Chain Models

Authors

  • Wen Li, Lin Jiang, Wai-Ki Ching & Lu-Bin Cui

DOI:

https://doi.org/10.4208/eajam.291112.090113a

Keywords:

Multivariate Markov chain models, stationary distribution vector, condition number, relative bound.

Abstract

Multivariate Markov chain models have previously been proposed in for studying dependent multiple categorical data sequences. For a given multivariate Markov chain model, an important problem is to study its joint stationary distribution. In this paper, we use two techniques to present some perturbation bounds for the joint stationary distribution vector of a multivariate Markov chain with s categorical sequences. Numerical examples demonstrate the stability of the model and the effectiveness of our perturbation bounds.

Published

2018-08-14

Issue

Section

Articles