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Comparison Inequalities for Order Statistics of Gaussian Arrays

Normal comparison lemma and Slepian's inequality are essential tools in the study of Gaussian processes. In this paper we extend normal comparison lemma and derive various related comparison inequalities including Slepian's inequality for order statistics of two Gaussian arrays.The derived results can be applied in numerous problems related to the study of the supremum of order statistics of Gaussian processes. In order to illustrate the range of possible applications, we analyze the lower tail behaviour of order statistics of self-similar Gaussian processes and derive mixed Gumbel limit theorems.

preprint2015arXivOpen access
K. DebickiE. HashorvaL. JiC. Ling
math.PR
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Open access4 authors1 topic
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K. DebickiE. HashorvaL. JiC. Ling

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