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arxiv: 1407.0896 · v3 · pith:TAZ4DIMJnew · submitted 2014-07-03 · 🧮 math.PR

Asymptotic development for the CLT in total variation distance

classification 🧮 math.PR
keywords asymptoticmeasuretotalvariationabsolutelyapproximatingbasiccentral
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The aim of this paper is to study the asymptotic expansion in total variation in the Central Limit Theorem when the law of the basic random variable is locally lower-bounded by the Lebesgue measure (or equivalently, has an absolutely continuous component): we develop the error in powers of $n^{-1/2}$ and give an explicit formula for the approximating measure.

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