2026-04-17T04:10:27Zhttps://recercat.cat/oai/request

oai:recercat.cat:10230/705212025-05-27T23:28:03Zcom_2072_6col_2072_452952

00925njm 22002777a 4500 dc Lugosi, Gábor author 2025-05-27T06:54:56Z 2025-05-27T06:54:56Z 2022 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”. http://hdl.handle.net/10230/70521 Mean estimation Robustness High-dimensional statistics Mean estimation in high dimension