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Preconditioned Metropolis sampling as a strategy to improve efficiency in posterior exploration
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computational Science.ORCID iD: 0000-0002-3614-1732
2016 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2016. p. 89-94
Series
IFAC-PapersOnLine ; 49:26
National Category
Computational Mathematics Biochemistry Molecular Biology
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URN: urn:nbn:se:uu:diva-312901DOI: 10.1016/j.ifacol.2016.12.108ISI: 000401256700015OAI: oai:DiVA.org:uu-312901DiVA, id: diva2:1065294
Conference
FOSBE 2016, October 9–12, Magdeburg, Germany
Projects
UPMARCeSSENCEAvailable from: 2017-01-06 Created: 2017-01-14 Last updated: 2025-02-20Bibliographically approved

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Engblom, Stefan

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