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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

SUB-GAUSSIAN MEAN ESTIMATORS

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Author(s):
Devroye, Luc ; Lerasle, Matthieu ; Lugosi, Gabor ; Olivetra, Roberto I.
Total Authors: 4
Document type: Journal article
Source: ANNALS OF STATISTICS; v. 44, n. 6, p. 2695-2725, DEC 2016.
Web of Science Citations: 6
Abstract

We discuss the possibilities and limitations of estimating the mean of a real-valued random variable from independent and identically distributed observations from a nonasymptotic point of view. In particular, we define estimators with a sub-Gaussian behavior even for certain heavy-tailed distributions. We also prove various impossibility results for mean estimators. (AU)

FAPESP's process: 13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat
Grantee:Oswaldo Baffa Filho
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC