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Stochastic Processes and their Applications
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Stochastic Processes and their Applications
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An invariance principle under the total variation distance

Authors: Ivan Nourdin; Guillaume Poly;

An invariance principle under the total variation distance

Abstract

Let $X_1,X_2,\ldots$ be a sequence of i.i.d. random variables, with mean zero and variance one. Let $W_n=(X_1+\ldots+X_n)/\sqrt{n}$. An old and celebrated result of Prohorov asserts that $W_n$ converges in total variation to the standard Gaussian distribution if and only if $W_{n_0}$ has an absolutely continuous component for some $n_0$. In the present paper, we give yet another proof and extend Prohorov's theorem to a situation where, instead of $W_n$, we consider more generally a sequence of homogoneous polynomials in the $X_i$. More precisely, we exhibit conditions for a recent invariance principle proved by Mossel, O'Donnel and Oleszkiewicz to hold under the total variation distance. There are many works about CLT under various metrics in the literature, but the present one seems to be the first attempt to deal with homogeneous polynomials in the $X_i$ with degree strictly greater than one.

15 pages

Country
Luxembourg
Keywords

total variation distance, [MATH.MATH-PR] Mathematics [math]/Probability [math.PR], Functional limit theorems; invariance principles, homogeneous polynomials, Convergence in law, convergence in law, Probability (math.PR), Central limit and other weak theorems, invariance principle, Invariance principle, total variation, absolute continuity, FOS: Mathematics, : Mathematics [G03] [Physical, chemical, mathematical & earth Sciences], convergence in total variation, : Mathématiques [G03] [Physique, chimie, mathématiques & sciences de la terre], Mathematics - Probability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
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