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Using Prior Information in Bayesian Inference - with Application to Diagnosis
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering.
2007 (English)Conference paper, Published paper (Other academic)
Abstract [en]

In this paper we consider Bayesian inference using training data combined with prior information. The prior information considered is response and causality information which gives constraints on the posterior distribution. It is shown how these constraints can be expressed in terms of the prior probability distribution, and how to perform the computations. Further, it is discussed how this prior information improves the inference.

Place, publisher, year, edition, pages
2007.
Keyword [en]
Diagnosis
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-138081OAI: oai:DiVA.org:liu-138081DiVA: diva2:1106703
Conference
MaxEnt, Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Note

Fulltexten publicerad endast i DiVA

Available from: 2017-06-08 Created: 2017-06-08 Last updated: 2017-06-20

Open Access in DiVA

fulltext(68 kB)15 downloads
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File name FULLTEXT01.pdfFile size 68 kBChecksum SHA-512
7934142ada392858472fec14ce49339e7ec7b4378224b6986a2a940331fac47cfaaf1cc9dced71ee039fbf17ea29fb529ca6c32c138881ff20676766fa20a915
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Pernestål, AnnaNyberg, Mattias
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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