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On the structure of 1-dependent Markov chains
Authors:Jon Aaronson  David Gilat  Michael Keane
Affiliation:(1) School of Mathematical Sciences, Tel Aviv University, 69978 Tel Aviv, Israel;(2) Department of Mathematics and Informatics, Delft University of Technology, Julianalaan 132, 2628 BL Delft, The Netherlands
Abstract:Any stationary 1-dependent Markov chain with up to four states is a 2-block factor of independent, identically distributed random variables. There is a stationary 1-dependent Markov chain with five states which is not, even though every 1-dependent renewal process is a 2-block factor.
Keywords:Stationary Markov chain  1-dependence  block factor
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