Displaying similar documents to “Large deviations for the largest eigenvalue of rank one deformations of Gaussian ensembles.”

Moderate deviations for I.I.D. random variables

Peter Eichelsbacher, Matthias Löwe (2003)

ESAIM: Probability and Statistics

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We derive necessary and sufficient conditions for a sum of i.i.d. random variables i = 1 n X i / b n – where b n n 0 , but b n n – to satisfy a moderate deviations principle. Moreover we show that this equivalence is a typical moderate deviations phenomenon. It is not true in a large deviations regime.

Multidimensional limit theorems for smoothed extreme value estimates of point processes boundaries

Ludovic Menneteau (2008)

ESAIM: Probability and Statistics

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In this paper, we give sufficient conditions to establish central limit theorems and moderate deviation principle for a class of support estimates of empirical and Poisson point processes. The considered estimates are obtained by smoothing some bias corrected extreme values of the point process. We show how the smoothing permits to obtain Gaussian asymptotic limits and therefore pointwise confidence intervals. Some unidimensional and multidimensional examples are provided. ...