AbstractA necessary and sufficient condition for a finite ergodic homogeneous Markov chain to converge to the stationary distribution in a finite number of steps is given. This generalizes a recent result of Brosh and Gerchak, who consider only the irreducible case
We give computable bounds on the rate of convergence of the transition probabil-ities to the station...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
AbstractA necessary and sufficient condition for a finite ergodic homogeneous Markov chain to conver...
AbstractWe study the necessary and sufficient conditions for a finite ergodic Markov chain to conver...
AbstractWe study the properties of finite ergodic Markov Chains whose transition probability matrix ...
New improved rates of convergence for ergodic homogeneous Markov chains are studied. Examples of com...
communicated by I. Pinelis Abstract. For the distribution of a finite, homogeneous, continuous-time ...
We continue the work of improving the rate of convergence of ergodic homogeneous Markov chains. The ...
AbstractFor finite Markov chains the eigenvalues of P can be used to characterize the chain and also...
Using elementary methods, we prove that for a countable Markov chain P of ergodic degree d > 0 the r...
Using elementary methods, we prove that for a countable Markov chain P of ergodic degree d > 0 the r...
Using elementary methods, we prove that for a countable Markov chain P of ergodic degree d > 0 the r...
The Perron-Frobenius Theorem asserts that an ergodic Markov chain converges to its stationary distri...
Ankara : Department of Mathematics and Institute of Engineering and Sciences of Bilkent University, ...
We give computable bounds on the rate of convergence of the transition probabil-ities to the station...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
AbstractA necessary and sufficient condition for a finite ergodic homogeneous Markov chain to conver...
AbstractWe study the necessary and sufficient conditions for a finite ergodic Markov chain to conver...
AbstractWe study the properties of finite ergodic Markov Chains whose transition probability matrix ...
New improved rates of convergence for ergodic homogeneous Markov chains are studied. Examples of com...
communicated by I. Pinelis Abstract. For the distribution of a finite, homogeneous, continuous-time ...
We continue the work of improving the rate of convergence of ergodic homogeneous Markov chains. The ...
AbstractFor finite Markov chains the eigenvalues of P can be used to characterize the chain and also...
Using elementary methods, we prove that for a countable Markov chain P of ergodic degree d > 0 the r...
Using elementary methods, we prove that for a countable Markov chain P of ergodic degree d > 0 the r...
Using elementary methods, we prove that for a countable Markov chain P of ergodic degree d > 0 the r...
The Perron-Frobenius Theorem asserts that an ergodic Markov chain converges to its stationary distri...
Ankara : Department of Mathematics and Institute of Engineering and Sciences of Bilkent University, ...
We give computable bounds on the rate of convergence of the transition probabil-ities to the station...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
In this paper, we investigate computable lower bounds for the best strongly ergodic rate of converg...
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