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Probability Theory and Related Fields
Article . 2000 . Peer-reviewed
License: Springer TDM
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https://dx.doi.org/10.5167/uzh...
Other literature type . 2000
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Iterates of expanding maps

Authors: Barbour, A D; Gerrard, R; Reinert, G;

Iterates of expanding maps

Abstract

Let \(h:I=[0,1]\to I\) be a piecewise monotone, \(C^1\) and uniformly expanding map. The authors are mainly interested in the iterates of \(h\). They show that the sequence of iterates can be closely tied to an \(m\)-dependent process. This provides good bounds on the accuracy of Gaussian approximations. To this end the authors use coupling and Stein's method.

Countries
Switzerland, United Kingdom
Keywords

Functional limit theorems; invariance principles, Gaussian approximations, 2603 Analysis, expanding map, Central limit and other weak theorems, iteration, 10123 Institute of Mathematics, Dynamical systems involving maps of the interval, 510 Mathematics, Stationary stochastic processes, Stein's method, 1804 Statistics, Probability and Uncertainty, 2613 Statistics and Probability, Expanding maps – Functional iteration – Coupling – Decay of correlations – Gaussian approximation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Top 10%
Average
Green
bronze