A Markov process underlying the generalized Syracuse algorithm
G. Leigh (1986)
Acta Arithmetica
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G. Leigh (1986)
Acta Arithmetica
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Randal Douc, Arnaud Guillin, Eric Moulines (2008)
Annales de l'I.H.P. Probabilités et statistiques
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This paper studies limit theorems for Markov chains with general state space under conditions which imply subgeometric ergodicity. We obtain a central limit theorem and moderate deviation principles for additive not necessarily bounded functional of the Markov chains under drift and minorization conditions which are weaker than the Foster–Lyapunov conditions. The regeneration-split chain method and a precise control of the modulated moment of the hitting time to small sets are employed...
M. B. Levin (1996)
Journal de théorie des nombres de Bordeaux
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We construct a Markov normal sequence with a discrepancy of . The estimation of the discrepancy was previously known to be .
Petr Kratochvíl (1983)
Aplikace matematiky
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Let be a vector of absolute distributions of probabilities in an irreducible aperiodic homogeneous Markov chain with a finite state space. Professor Alladi Ramakrishnan conjectured the following strict inequality for norms of differences . In the paper, a necessary and sufficient condition for the validity of this inequality is proved, which may be useful in investigating the character of convergence of distributions in Markov chains.
Sarah Holte (1995)
Colloquium Mathematicae
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In this paper we address the following question due to Marcy Barge: For what f:I → I is it the case that the inverse limit of I with single bonding map f can be embedded in the plane so that the shift homeomorphism extends to a diffeomorphism ([BB, Problem 1.5], [BK, Problem 3])? This question could also be phrased as follows: Given a map f:I → I, find a diffeomorphism so that F restricted to its full attracting set, , is topologically conjugate to . In this situation, we say that...
Alf Jonsson, Hans Wallin (1995)
Studia Mathematica
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