arXiv:math/0608311 [math.DS]AbstractReferencesReviewsResources
Upcrossing inequalities for stationary sequences and applications
Published 2006-08-13, updated 2009-12-08Version 3
For arrays $(S_{i,j})_{1\leq i\leq j}$ of random variables that are stationary in an appropriate sense, we show that the fluctuations of the process $(S_{1,n})_{n=1}^{\infty}$ can be bounded in terms of a measure of the ``mean subadditivity'' of the process $(S_{i,j})_{1\leq i\leq j}$. We derive universal upcrossing inequalities with exponential decay for Kingman's subadditive ergodic theorem, the Shannon--MacMillan--Breiman theorem and for the convergence of the Kolmogorov complexity of a stationary sample.
Comments: Published in at http://dx.doi.org/10.1214/09-AOP460 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Journal: Annals of Probability 2009, Vol. 37, No. 6, 2135-2149
DOI: 10.1214/09-AOP460
Keywords: stationary sequences, applications, kingmans subadditive ergodic theorem, kolmogorov complexity, random variables
Tags: journal article
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