The Annals of Probability

Large Deviations for random power moment problem

Fabrice Gamboa and Li-Vang Lozada-Chang
Source: Ann. Probab. Volume 32, Number 3B (2004), 2819-2837.

Abstract

We consider the set Mn of all n-truncated power moment sequences of probability measures on [0,1]. We endow this set with the uniform probability. Picking randomly a point in Mn, we show that the upper canonical measure associated with this point satisfies a large deviation principle. Moderate deviation are also studied completing earlier results on asymptotic normality given by Chang, Kemperman and Studden [Ann. Probab. 21 (1993) 1295–1309]. Surprisingly, our large deviations results allow us to compute explicitly the (n+1)th moment range size of the set of all probability measures having the same n first moments. The main tool to obtain these results is the representation of Mn on canonical moments [see the book of Dette and Studden].

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Primary Subjects: 60F10, 30E05
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Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.aop/1091813631
Digital Object Identifier: doi:10.1214/009117904000000559
Mathematical Reviews number (MathSciNet): MR2078558
Zentralblatt MATH identifier: 02121714

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The Annals of Probability

The Annals of Probability