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Re-thinking High-dimensional Mathematical Statistics

dc.date.accessioned2022-07-11T07:02:37Z
dc.date.available2022-07-11T07:02:37Z
dc.date.issued2022
dc.identifier.urihttp://publications.mfo.de/handle/mfo/3962
dc.description.abstractThe workshop highlighted recent theoretical advances on inference in high-dimensional statistical models based on the interplay of techniques from mathematical statistics, machine learning, theoretical computer science and related areas. The workshop brought together about 50 researchers in order to present new results, exchange ideas and explore open problems.
dc.titleRe-thinking High-dimensional Mathematical Statistics
dc.rights.licenseDieses Dokument darf im Rahmen von § 53 UrhG zum eigenen Gebrauch kostenfrei heruntergeladen, gelesen, gespeichert und ausgedruckt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.de
dc.rights.licenseThis document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties.en
dc.identifier.doi10.14760/OWR-2022-25
local.series.idOWR-2022-25
local.subject.msc62
local.date-range15 May - 21 May 2022
local.workshopcode2220
local.workshoptitleRe-thinking High-dimensional Mathematical Statistics
local.organizersFlorentina Bunea, Ithaca; Robert Nowak, Madison; Alexandre Tsybakov, Palaiseau
local.report-nameWorkshop Report 2022,25
local.opc-photo-id2220
local.publishers-doi10.4171/OWR/2022/25


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