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Article Dans Une Revue Probability Theory and Related Fields Année : 2010

An empirical central limit theorem for intermittent maps

Résumé

We prove an empirical central limit theorem for the distribution function of a stationary sequence, under a dependence condition involving only indicators of half line.We show that the result applies to the empirical distribution function of iterates of expanding maps with a neutral fixed point at zero as soon as the correlations are summable.
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Dates et versions

hal-00685936 , version 1 (06-04-2012)

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  • HAL Id : hal-00685936 , version 1

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Jerome Dedecker. An empirical central limit theorem for intermittent maps. Probability Theory and Related Fields, 2010, 148, pp.177-195. ⟨hal-00685936⟩
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