Invariant probabilities for Feller-Markov chains.
Hernández-Lerma, Onésimo, Lasserre, Jean B. (1995)
Journal of Applied Mathematics and Stochastic Analysis
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Displaying similar documents to “On the classification of Markov chains via occupation measures”
Invariant probabilities for Feller-Markov chains.
Geometric ergodicity and hybrid Markov chains.
Roberts, Gareth O., Rosenthal, Jeffrey S. (1997)
Electronic Communications in Probability [electronic only]
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Strong ratio limit theorems for mixing Markov operators
Michael Lin (1976)
Annales de l'I.H.P. Probabilités et statistiques
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Some notes on topological recurrence.
Carlsson, Niclas (2005)
Electronic Communications in Probability [electronic only]
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Exchangeable measures for subshifts
J. Aaronson, H. Nakada, O. Sarig (2006)
Annales de l'I.H.P. Probabilités et statistiques
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Geometric ergodicity for a class of Markov chains
E. Nummelin, R. L. Tweedie (1976)
Annales scientifiques de l'Université de Clermont. Mathématiques
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Quasi-Feller Markov chains.
Lasserre, Jean B. (2000)
Journal of Applied Mathematics and Stochastic Analysis
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The Kendall theorem and its application to the geometric ergodicity of Markov chains
Witold Bednorz (2013)
Applicationes Mathematicae
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We give an improved quantitative version of the Kendall theorem. The Kendall theorem states that under mild conditions imposed on a probability distribution on the positive integers (i.e. a probability sequence) one can prove convergence of its renewal sequence. Due to the well-known property (the first entrance last exit decomposition) such results are of interest in the stability theory of time-homogeneous Markov chains. In particular this approach may be used to measure rates of convergence...
On the Markov chain central limit theorem.
Jones, Galin L. (2004)
Probability Surveys [electronic only]
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