About: Bayesian averaging of regressive models     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
rdfs:seeAlso
Description
  • In the real world, it is often possible to model certain variables using several different regressive models. However, as the theoretical (mathematical, physical...) description of the real world is almost never perfect, there exists uncertainty about the true or best-fitting model. This paper deals with an issue of `mixing' information from multiple potentially true models, which run in parallel, to obtain a single outcome, taking the model uncertainty into account. While this issue has been addressed by many research papers in the past, most of them were developed for the static cases or for the state-space models. Here, we discuss an enhancement for a class of input-output regressive models. The described method allows to switch among models to reflect their modelling performance. If there is a single best model, the method quickly converges to it.
  • In the real world, it is often possible to model certain variables using several different regressive models. However, as the theoretical (mathematical, physical...) description of the real world is almost never perfect, there exists uncertainty about the true or best-fitting model. This paper deals with an issue of `mixing' information from multiple potentially true models, which run in parallel, to obtain a single outcome, taking the model uncertainty into account. While this issue has been addressed by many research papers in the past, most of them were developed for the static cases or for the state-space models. Here, we discuss an enhancement for a class of input-output regressive models. The described method allows to switch among models to reflect their modelling performance. If there is a single best model, the method quickly converges to it. (en)
Title
  • Bayesian averaging of regressive models
  • Bayesian averaging of regressive models (en)
skos:prefLabel
  • Bayesian averaging of regressive models
  • Bayesian averaging of regressive models (en)
skos:notation
  • RIV/48361143:_____/10:#0000004!RIV12-MSM-48361143
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7D09008), Z(AV0Z10750506)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 248495
http://linked.open...ai/riv/idVysledku
  • RIV/48361143:_____/10:#0000004
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • bayesian modelling; model averaging; estimation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [65612F2F7366]
http://linked.open...v/mistoKonaniAkce
  • Veszprém, Maďarsko
http://linked.open...i/riv/mistoVydani
  • Veszprém, Maďarsko
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 11th International PhD Workshop on Systems and Control
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Dedecius, Kamil
  • Pištěk, Miroslav
  • Jirsa, Ladislav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Faculty of Information Technology, University of Pannonia
https://schema.org/isbn
  • 978-615-5044-00-7
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 67 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software