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Bayesian averaging of regressive models
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SYSNO ASEP 0346948 Druh ASEP C - Konferenční příspěvek (mezinárodní konf.) Zařazení RIV D - Článek ve sborníku Název Bayesian averaging of regressive models Tvůrce(i) Dedecius, Kamil (UTIA-B) RID, ORCID
Jirsa, Ladislav (UTIA-B) RID
Pištěk, Miroslav (UTIA-B) RID, ORCIDZdroj.dok. Proceedings of the 11th International PhD Workshop on Systems and Control. - Veszprém, Maďarsko : Faculty of Information Technology, University of Pannonia, 2010 - ISBN 978-615-5044-00-7 Rozsah stran s. 1-6 Poč.str. 6 s. Akce 11th International PhD Workshop on Systems and Control a Young Generation Viewpoint Datum konání 01.09.2010-03.09.2010 Místo konání Veszprém Země HU - Maďarsko Typ akce EUR Jazyk dok. eng - angličtina Země vyd. HU - Maďarsko Klíč. slova bayesian modelling ; model averaging ; estimation Vědní obor RIV JD - Využití počítačů, robotika a její aplikace CEP 7D09008 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy CEZ AV0Z10750506 - UTIA-B (2005-2011) Anotace 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. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2011
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