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Statistical Recovery of Discrete, Geometric and Invariant Structures

dc.date.accessioned2019-10-24T15:29:19Z
dc.date.available2019-10-24T15:29:19Z
dc.date.issued2017
dc.identifier.urihttp://publications.mfo.de/handle/mfo/3580
dc.description.abstractThe main objective of the workshop was to bring together researchers in mathematical statistics and related areas in order to discuss recent advances and problems associated with statistical recovery of geometric and invariant structures. Topics include adaptive estimation, confidence sets and testing techniques, as well as statistical algorithms for geometrical structure recovery and data analysis.
dc.titleStatistical Recovery of Discrete, Geometric and Invariant Structures
dc.identifier.doi10.14760/OWR-2017-16
local.series.idOWR-2017-16
local.subject.msc62
local.subject.msc60
local.sortindex1020
local.date-range19 Mar - 25 Mar 2017
local.workshopcode1712
local.workshoptitleStatistical Recovery of Discrete, Geometric and Invariant Structures
local.organizersPeter Bühlmann, Zürich; Axel Munk, Göttingen; Martin Wainwright, Berkeley; Bin Yu, Berkeley
local.report-nameWorkshop Report 2017,16
local.opc-photo-id1712
local.publishers-doi10.4171/OWR/2017/16
local.ems-referenceBühlmann Peter, Munk Axel, Wainwright Martin, Yu Bin: Statistical Recovery of Discrete, Geometric and Invariant Structures. Oberwolfach Rep. 14 (2017), 949-999. doi: 10.4171/OWR/2017/16


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