On Perturbation Bounds for the Joint Stationary Distribution of Multivariate Markov Chain Models
DOI:
https://doi.org/10.4208/eajam.291112.090113aKeywords:
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.