University of California, Santa Barbara |
ANDREW V. CARTER | |||||||
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Tusnády's
inequality revisited. (2004) The Annals of Statistics 32 pp. 2731-2741 (with David Pollard). |
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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's 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. |
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