Upcrossing inequalities for stationary sequences and applications
Abstract
For arrays (Si,j)1≤ i≤ j of random variables that are stationary in an appropriate sense, we show that the fluctuations of the process (S1,n)n=1∞ can be bounded in terms of a measure of the ``mean subadditivity'' of the process (Si,j)1≤ i≤ 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.
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