A direct method based on oblique projections is adapted to compute the stationary distribution vector of a finite Markov chain. The algorithm can also be used to compute the group inverse of the corresponding generator matrix. It is shown how to update the stationary vector and other quantities of interest when one row of the transition probability matrix is modified. A GTH-like variant that appears to compute the stationary probabilities to high relative accuracy is developed. © 2004 Elsevier Inc. All rights reserved
Based upon the Grassman, Taksar and Heyman algorithm [1] and the equivalent Sheskin State Reduction ...
This article provides series expansions of the stationary distribution of a finite Markov chain. Thi...
Markov chains are considered with emphasis on the compution of exact and approximate stationary dist...
AbstractA direct method based on oblique projections is adapted to compute the stationary distributi...
Computational procedures for the stationary probability distribution, the group inverse of the Marko...
An algorithmic procedure for the determination of the stationary distribution of a finite, m-state, ...
AbstractTechniques for updating the stationary distribution of a finite irreducible Markov chain fol...
AbstractThe main aim of this paper is to examine the applicability of generalized inverses to a wide...
This paper describes and compares several methods for computing stationary probability distributions...
Abstract: In this paper, based on probabilistic arguments, we obtain an explicit solution of the sta...
The transition matrix, which characterizes a discrete time homogeneous Markov chain, is a stochastic...
AbstractIn a situation where the unique stationary distribution vector of an infinite irreducible po...
This paper provides series expansions of the stationary distribution of a finite Markov chain. This ...
In this paper, a new method for evaluating the steady-state distribution of an ergodic, discrete or ...
It is shown that a stationary distribution of a regular Markov chain can be obtained directly from i...
Based upon the Grassman, Taksar and Heyman algorithm [1] and the equivalent Sheskin State Reduction ...
This article provides series expansions of the stationary distribution of a finite Markov chain. Thi...
Markov chains are considered with emphasis on the compution of exact and approximate stationary dist...
AbstractA direct method based on oblique projections is adapted to compute the stationary distributi...
Computational procedures for the stationary probability distribution, the group inverse of the Marko...
An algorithmic procedure for the determination of the stationary distribution of a finite, m-state, ...
AbstractTechniques for updating the stationary distribution of a finite irreducible Markov chain fol...
AbstractThe main aim of this paper is to examine the applicability of generalized inverses to a wide...
This paper describes and compares several methods for computing stationary probability distributions...
Abstract: In this paper, based on probabilistic arguments, we obtain an explicit solution of the sta...
The transition matrix, which characterizes a discrete time homogeneous Markov chain, is a stochastic...
AbstractIn a situation where the unique stationary distribution vector of an infinite irreducible po...
This paper provides series expansions of the stationary distribution of a finite Markov chain. This ...
In this paper, a new method for evaluating the steady-state distribution of an ergodic, discrete or ...
It is shown that a stationary distribution of a regular Markov chain can be obtained directly from i...
Based upon the Grassman, Taksar and Heyman algorithm [1] and the equivalent Sheskin State Reduction ...
This article provides series expansions of the stationary distribution of a finite Markov chain. Thi...
Markov chains are considered with emphasis on the compution of exact and approximate stationary dist...