Decision theoretic approaches for focussed Bayesian fusion
| dc.contributor.author | Sander, Jennifer | |
| dc.contributor.author | Beyerer, Jürgen | |
| dc.contributor.editor | Heiß, Hans-Ulrich | |
| dc.contributor.editor | Pepper, Peter | |
| dc.contributor.editor | Schlingloff, Holger | |
| dc.contributor.editor | Schneider, Jörg | |
| dc.date.accessioned | 2018-11-27T09:59:55Z | |
| dc.date.available | 2018-11-27T09:59:55Z | |
| dc.date.issued | 2011 | |
| dc.description.abstract | Focussed Bayesian fusion is a local Bayesian fusion technique by that high costs caused by Bayesian fusion can get circumvented. This publication addresses globally optimal decision making on the basis of a focussed Bayesian model. Therefore, common decision criteria under linear partial information and in particular principles of lazy decision making are applied. We also present an interval scheme for global posterior probabilities whose informativeness is notably high. | en |
| dc.identifier.isbn | 978-88579-286-4 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/18789 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | INFORMATIK 2011 – Informatik schafft Communities | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-192 | |
| dc.title | Decision theoretic approaches for focussed Bayesian fusion | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 478 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 478 | |
| gi.conference.date | 4.-7. Oktober 2011 | |
| gi.conference.location | Berlin | |
| gi.conference.sessiontitle | Regular Research Papers |
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