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On the convergence of generalized moments in almost sure central limit theorem
Authors:Ildar Ibragimov  Mikhail Lifshits
Affiliation:

a St-Petersburg Branch of Steklov Mathematical Institute of Russian Academy of Sciences, 191011, Fontanka, 27, St-Petersburg, Russia

b Mancomtech Center, 197372, Komendantskii, 22-2-49, St-Petersburg, Russia

c U.F.R. de Mathématiques, Université de Lille I, 59655, Villeneuve d'Ascq Cedex, France

Abstract:Let {ζk} be the normalized sums corresponding to a sequence of i.i.d. variables with zero mean and unit variance. Define random measures
and let G be the normal distribution. We show that for each continuous function h satisfying ∫ hdG<∞ and a mild regularity assumption, one has
a.s.
Keywords:Almost sure limit theorems   Moments   Strong invariance principle
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