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Tusnády’s inequality revisited

Andrew Carter, David Pollard

The Annals of Statistics · 2004 · Volume 32 · Issue 6

DOI: 10.1214/009053604000000733

Abstract

Tusnády’s inequality is the key ingredient in the KMT/Hungarian coupling of the empirical distribution function with a Brownian bridge. We present an elementary proof of a result that sharpens the Tusnády inequality, modulo constants. Our method uses the beta integral representation of Binomial tails, simple Taylor expansion and some novel bounds for the ratios of normal tail probabilities.

Keywords

62B15, 62E17, beta integral representation of Binomial tails, equivalent normal deviate, KMT/Hungarian construction, Quantile coupling, ratios of normal tails, Tusnády’s inequality

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