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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