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Data Assimilation: From Mathematical and Statistical Foundations to Applications

dc.date.accessioned2025-04-01T11:18:17Z
dc.date.available2025-04-01T11:18:17Z
dc.date.issued2025
dc.identifier.urihttp://publications.mfo.de/handle/mfo/4233
dc.description.abstractData assimilation, where predictions from a dynamical system are updated sequentially based on new and incomplete observations, is increasingly finding applications in many areas of science and technology. This workshop brought together a collection of scientists from dynamical systems, statistics, machine learning, applied probability, uncertainty quantification, and mathematical modelling, as well as practitioners in the field.
dc.titleData Assimilation: From Mathematical and Statistical Foundations to Applications
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-2025-10
local.series.idOWR-2025-10
local.subject.msc37
local.subject.msc65
local.subject.msc62
local.date-range23 Feb - 28 Feb 2025
local.workshopcode2509a
local.workshoptitleData Assimilation: From Mathematical and Statistical Foundations to Applications
local.organizersJana de Wiljes, Ilmenau; Youssef Marzouk, Cambridge MA; Aretha Teckentrup, Edinburgh
local.report-nameWorkshop Report 2025,10
local.opc-photo-id2509a
local.publishers-doi10.4171/OWR/2025/10


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