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.
Original language | English |
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Pages (from-to) | 545-561 |
Number of pages | 17 |
Journal | Journal of Theoretical Probability |
Volume | 5 |
Issue number | 3 |
DOIs | |
State | Published - Jul 1992 |
Keywords
- 1-dependence
- Stationary Markov chain
- block factor