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Foundations of Bayesian Inference for Complex Statistical Models (hybrid meeting)

dc.date.accessioned2021-06-17T09:46:17Z
dc.date.available2021-06-17T09:46:17Z
dc.date.issued2021
dc.identifier.urihttp://publications.mfo.de/handle/mfo/3869
dc.description.abstractIn this virtual workshop a variety of recent developments in Bayesian high-dimensional and nonparametric statistics were discussed in depth. There were 12 in depth talks delivered via zoom in the afternoons (to allow for US attendance), and several informal evening time meetings on wonder.me, where follow up discussions of the most important mathematical developments took place.
dc.titleFoundations of Bayesian Inference for Complex Statistical Models (hybrid meeting)
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-2021-22
local.series.idOWR-2021-22
local.subject.msc62
local.date-range02 May - 08 May 2021
local.workshopcode2118
local.workshoptitleFoundations of Bayesian Inference for Complex Statistical Models (hybrid meeting)
local.organizersRichard Nickl, Cambridge UK; Judith Rousseau, Oxford; Aad van der Vaart, Leiden
local.report-nameWorkshop Report 2021,22
local.opc-photo-id2118
local.publishers-doi10.4171/OWR/2021/22


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