2026-04-13T07:27:27Zhttps://recercat.cat/oai/requestoai:recercat.cat:10230/705212025-05-27T23:28:03Zcom_2072_6col_2072_452952
RECERCAT
author
Lugosi, Gábor
2025-05-27T23:28:03Z
2025-05-27T23:28:03Z
2025-05-27T06:54:56Z2025-05-27T06:54:56Z2022
http://hdl.handle.net/10230/70521
In this note we discuss the statistical problem of estimating the mean of a random vector based on independent, identically distributed data. This classical problem has recently attracted a lot of attention both in mathematical statistics and in theoretical computer science and numerous intricacies have been revealed. We discuss some of the recent advances, focusing on high-dimensional aspects.This work was supported by the Spanish Ministry of Economy and Competitiveness, Grant PGC2018-101643-B-I00 and by “Google Focused Award Algorithms and Learning for AI”.
Published by EMS Press and licensed under a CC BY 4.0 license. http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess
Mean estimation
Robustness
High-dimensional statistics
Mean estimation in high dimension
info:eu-repo/semantics/bookPart info:eu-repo/semantics/publishedVersion