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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