Large deviations of Markov chains indexed by random trees
Amir Dembo, Peter Mörters, Scott Sheffield (2005)
Annales de l'I.H.P. Probabilités et statistiques
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Amir Dembo, Peter Mörters, Scott Sheffield (2005)
Annales de l'I.H.P. Probabilités et statistiques
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Székely, Laszlo A., Erdős, Péter L., Steel, M.A. (1992)
Séminaire Lotharingien de Combinatoire [electronic only]
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Evans, Steven Neil, Lidman, Tye (2007)
Electronic Journal of Probability [electronic only]
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Chazottes, Jean-René, Giardina, Cristian, Redig, Frank (2006)
Electronic Journal of Probability [electronic only]
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Aernout C. D. van Enter, Victor N. Ermolaev, Giulio Iacobelli, Christof Külske (2012)
Annales de l'I.H.P. Probabilités et statistiques
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In this paper we study homogeneous Gibbs measures on a Cayley tree, subjected to an infinite-temperature Glauber evolution, and consider their (non-)Gibbsian properties. We show that the intermediate Gibbs state (which in zero field is the free-boundary-condition Gibbs state) behaves differently from the plus and the minus state. E.g. at large times, all configurations are bad for the intermediate state, whereas the plus configuration never is bad for the plus state. Moreover, we show...
Fulman, Jason (2009)
The Electronic Journal of Combinatorics [electronic only]
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Collet, Pierre, Galves, Antonio, Leonardi, Florencia (2008)
Electronic Journal of Probability [electronic only]
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Hiroyuki Okazaki, Yuichi Futa, Yasunari Shidama (2013)
Formalized Mathematics
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Huffman coding is one of a most famous entropy encoding methods for lossless data compression [16]. JPEG and ZIP formats employ variants of Huffman encoding as lossless compression algorithms. Huffman coding is a bijective map from source letters into leaves of the Huffman tree constructed by the algorithm. In this article we formalize an algorithm constructing a binary code tree, Huffman tree.
Kuba, Markus (2011)
The Electronic Journal of Combinatorics [electronic only]
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Kuba, Markus, Wagner, Stephan (2006)
Séminaire Lotharingien de Combinatoire [electronic only]
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Geon Choe, Dong Kim (2000)
Colloquium Mathematicae
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The convergence rate of the expectation of the logarithm of the first return time , after being properly normalized, is investigated for ergodic Markov chains. I. Kontoyiannis showed that for any β > 0 we have a.s. for aperiodic cases and A. J. Wyner proved that for any ε >0 we have eventually, a.s., where is the probability of the initial n-block in x. In this paper we prove that converges to a constant depending only on the process where is the modified first return...