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Statistical consequences of the Devroye inequality for processes. Applications to a class of non-uniformly hyperbolic dynamical systems

J-R Chazottes1, P Collet1 and B Schmitt2

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Recommended by L Bunimovich

In this paper, we apply the Devroye inequality to study various statistical estimators and fluctuations of observables for processes. Most of these observables are suggested by dynamical systems. These applications concern the co-variance function, the integrated periodogram, the correlation dimension, the kernel density estimator, the speed of convergence of the empirical measure, the shadowing property and the almost-sure central limit theorem. We proved (Chazottes et al 2005 Nonlinearity 18 2323–40) that the Devroye inequality holds for a class of non-uniformly hyperbolic dynamical systems introduced in Young (1998 Ann. Math. 147 585–650). In the second appendix we prove that, if the decay of correlations holds with a common rate for all pairs of functions, then it holds uniformly in the function spaces. In the last appendix we prove that, for the subclass of one-dimensional systems studied in Young, the density of the absolutely continuous invariant measure belongs to a Besov space.


PACS

05.45.-a Nonlinear dynamics and nonlinear dynamical systems

02.50.-r Probability theory, stochastic processes, and statistics

02.30.Cj Measure and integration

05.40.-a Fluctuation phenomena, random processes, noise, and Brownian motion

MSC

37D25 Nonuniformly hyperbolic systems (Lyapunov exponents, Pesin theory, etc.)

60Fxx Limit theorems (See also 28Dxx, 60B12)

60E15 Inequalities; stochastic orderings

Subjects

Mathematical physics

Computational physics

Statistical physics and nonlinear systems

Dates

Issue 5 (September 2005)

Received 8 December 2004, in final form 6 June 2005

Published 15 July 2005



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