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Very High Dimensional Semiparametric Models

dc.date.accessioned2019-10-24T14:22:51Z
dc.date.available2019-10-24T14:22:51Z
dc.date.issued2011
dc.identifier.urihttp://publications.mfo.de/handle/mfo/3263
dc.description.abstractVery high dimensional semiparametric models play a major role in many areas, in particular in signal detection problems when sparse signals or sparse events are hidden among high dimensional noise. Concrete examples are genomic studies in biostatistics or imaging problems. In a broad context all kind of statistical inference and model selection problems were discussed for high dimensional data.
dc.titleVery High Dimensional Semiparametric Models
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-2011-48
local.series.idOWR-2011-48
local.subject.msc62
local.sortindex703
local.date-range02 Oct - 08 Oct 2011
local.workshopcode1140
local.workshoptitleVery High Dimensional Semiparametric Models
local.organizersArnold Janssen, Düsseldorf; Aad W. van der Vaart, Amsterdam; Jon A. Wellner, Seattle
local.report-nameWorkshop Report 2011,48
local.opc-photo-id1140
local.publishers-doi10.4171/OWR/2011/48
local.ems-referenceJanssen Arnold, van der Vaart Aad, Wellner Jon: Very High Dimensional Semiparametric Models. Oberwolfach Rep. 8 (2011), 2745-2779. doi: 10.4171/OWR/2011/48


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