
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.
[MATH.MATH-PR] Mathematics [math]/Probability [math.PR], total variation distance, Abstract Malliavin calculus; integration by parts; regularizing functions; total variation distance., Sums of independent random variables; random walks, Stochastic calculus of variations and the Malliavin calculus, Stochastic integrals, Probability (math.PR), central limit theorem, Settore MAT/06 - PROBABILITA' E STATISTICA MATEMATICA, Central limit and other weak theorems, integration by part, regularizing functions, abstract Malliavin calculus, regularizing function, Abstract Malliavin calculu, 60F05, 60H07, 60F05, integration by parts, FOS: Mathematics, Convergence of probability measures, Mathematics - Probability, regularizing functions 2000 MSC: 60H07
[MATH.MATH-PR] Mathematics [math]/Probability [math.PR], total variation distance, Abstract Malliavin calculus; integration by parts; regularizing functions; total variation distance., Sums of independent random variables; random walks, Stochastic calculus of variations and the Malliavin calculus, Stochastic integrals, Probability (math.PR), central limit theorem, Settore MAT/06 - PROBABILITA' E STATISTICA MATEMATICA, Central limit and other weak theorems, integration by part, regularizing functions, abstract Malliavin calculus, regularizing function, Abstract Malliavin calculu, 60F05, 60H07, 60F05, integration by parts, FOS: Mathematics, Convergence of probability measures, Mathematics - Probability, regularizing functions 2000 MSC: 60H07
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