An invariance principle under the total variation distance

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An invariance principle under the total variation distance

Abstract: Let X1,X2, . . . be a sequence of i.i.d. random variables, with mean zero and variance one. Let Wn = (X1 + . . . +Xn)/ √ n. An old and celebrated result of Prohorov [16] asserts that Wn converges in total variation to the standard Gaussian distribution if and only if Wn0 has an absolutely continuous component for some n0. In the present paper, we give yet another proof and extend Proh...

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ژورنال

عنوان ژورنال: Stochastic Processes and their Applications

سال: 2015

ISSN: 0304-4149

DOI: 10.1016/j.spa.2014.12.010