1968•Journal of Applied ProbabilityRequires access

Exponential ergodicity in derived Markov chains

Jozef L. Teugels

Open publisher page 4 citations

Abstract

A general proposition is proved stating that the exponential ergodicity of a stationary Markov chain is preserved for derived Markov chains as defined by Cohen [2], [3]. An application to a certain type of continuous time Markov chains is included.

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What this paper is about

A general proposition is proved stating that the exponential ergodicity of a stationary Markov chain is preserved for derived Markov chains as defined by Cohen [2], [3]. An application to a certain type of continuous time Markov chains is included.

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Available abstract

A general proposition is proved stating that the exponential ergodicity of a stationary Markov chain is preserved for derived Markov chains as defined by Cohen [2], [3]. An application to a certain type of continuous time Markov chains is included.

Key concepts: Markov chain, Mathematics, Ergodicity, Examples of Markov chains, Markov chain mixing time, Markov renewal process, Balance equation, Variable-order Markov model

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