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arxiv: 1102.1816 · v2 · pith:TEEGCGXInew · submitted 2011-02-09 · 🧮 math.DS · math.PR· nlin.CD

Concentration bounds for entropy estimation of one-dimensional Gibbs measures

classification 🧮 math.DS math.PRnlin.CD
keywords blocksboundsentropyfirstgibbsmeasuresone-dimensionalappearance
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We obtain bounds on fluctuations of two entropy estimators for a class of one-dimensional Gibbs measures on the full shift. They are the consequence of a general exponential inequality for Lipschitz functions of n variables. The first estimator is based on empirical frequencies of blocks scaling logarithmically with the sample length. The second one is based on the first appearance of blocks within typical samples.

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