2011
DOI: 10.1017/s0001867800005127
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Chains with unbounded variable length memory: perfect simulation and a visible regeneration scheme

Abstract: We present a new perfect simulation algorithm for stationary chains having unbounded variable length memory. This is the class of infinite memory chains for which the family of transition probabilities is represented by a probabilistic context tree. We do not assume any continuity condition: our condition is expressed in terms of the structure of the context tree. More precisely, the length of the contexts is a deterministic function of the distance to the last occurrence of some determined string of symbols. … Show more

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Cited by 21 publications
(54 citation statements)
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“…The following result is an immediate extension of Theorem 1 and the given conditions (15), (16), and (17).…”
Section: Corollarymentioning
confidence: 53%
See 1 more Smart Citation
“…The following result is an immediate extension of Theorem 1 and the given conditions (15), (16), and (17).…”
Section: Corollarymentioning
confidence: 53%
“…First, there are directions where the methodology may be applied directly: Markov chains with long memory (see, e.g. [9], [11], and [16]); excited random walks (see, e.g. [4], [5], and [21]); modified random walks (see, e.g.…”
Section: Commentsmentioning
confidence: 99%
“…By (7) and the fact thatp e k+1 < u n,k+1 ≤ p e k+1 we have e k+1 ∈ H n . Let D be the connected component of H n containing e k+1 .…”
Section: Coupling Of the Random Cluster Measure At Low Or High Tempermentioning
confidence: 92%
“…This paper has started some new research fields. One area of research concerns the Markov fields (see [3,12]); a second one concerns the processes with infinite memory (see [1,4,5,7]). Recently, these two areas of research have been in some sense unified by studying Gibbs measures with infinite interaction range (see [2,8]).…”
mentioning
confidence: 99%
“…A similar type of discontinuity has been considered in Gallo (2011) for stochastic chains with memory of variable length taking values in a finite alphabet.…”
Section: Theorem 1 [Existence and Uniqueness In Systems With Spontanementioning
confidence: 99%