Characterization of stationary probability measures for Variable Length Markov Chains
Résumé
By introducing a key combinatorial structure for words produced by a Variable Length Markov Chain (VLMC), the longest internal suffix, precise characterizations of existence and uniqueness of a stationary probability measure for a VLMC chain are given. These characterizations turn into necessary and sufficient conditions for VLMC associated to a subclass of probabilised context trees: the shift-stable context trees. As a by-product, we prove that a VLMC chain whose stabilized context tree is again a context tree has at most one stationary probability measure. MSC 2010: 60J05, 60C05, 60G10.
Domaines
Probabilités [math.PR]
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Cenac_Chauvin_Paccaut_Pouyanne-hal_3juillet2018.pdf (452.25 Ko)
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