Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Past predicts the future with Supervised Learning and James-Stein theory
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Applied Mathematics and Statistics.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2019. , p. 59
Series
U.U.D.M. project report ; 2019:2
National Category
Other Mathematics
Identifiers
URN: urn:nbn:se:uu:diva-375520OAI: oai:DiVA.org:uu-375520DiVA, id: diva2:1283982
Educational program
Master Programme in Mathematics
Supervisors
Examiners
Available from: 2019-01-30 Created: 2019-01-30 Last updated: 2019-01-30Bibliographically approved

Open Access in DiVA

fulltext(615 kB)40 downloads
File information
File name FULLTEXT01.pdfFile size 615 kBChecksum SHA-512
aba4808c167ef5b7b3f573fe040e9b62b88a99f283043cba657087b16996609099aaa39cc76a93ced029438c5d4fb5924dec269241c041e4b51865c2076d3ef4
Type fulltextMimetype application/pdf

By organisation
Applied Mathematics and Statistics
Other Mathematics

Search outside of DiVA

GoogleGoogle Scholar
Total: 40 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 46 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf