An empirical central limit theorem for intermittent maps
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Publication:5961961
DOI10.1007/s00440-009-0227-5zbMath1203.60039OpenAlexW1999217816MaRDI QIDQ5961961
Publication date: 16 September 2010
Published in: Probability Theory and Related Fields (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00440-009-0227-5
Stationary stochastic processes (60G10) Functional limit theorems; invariance principles (60F17) Dynamical systems involving maps of the interval (37E05)
Related Items (7)
Empirical process theory for nonsmooth functions under functional dependence ⋮ Strong approximation results for the empirical process of stationary sequences ⋮ The Mann-Whitney \(U\)-statistic for \(\alpha\)-dependent sequences ⋮ An empirical process central limit theorem for multidimensional dependent data ⋮ Empirical processes of multidimensional systems with multiple mixing properties ⋮ Empirical process theory for locally stationary processes ⋮ Weak convergence of the empirical process of intermittent maps in 𝕃2 under long-range dependence
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