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Towards Distributed Bayesian Estimation A Short Note on Selected Aspects
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SYSNO ASEP 0368319 Druh ASEP C - Konferenční příspěvek (mezinárodní konf.) Zařazení RIV D - Článek ve sborníku Název Towards Distributed Bayesian Estimation A Short Note on Selected Aspects Tvůrce(i) Dedecius, Kamil (UTIA-B) RID, ORCID
Sečkárová, Vladimíra (UTIA-B) RIDCelkový počet autorů 2 Zdroj.dok. The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011). - Prague : Institute of Information Theory and Automation, 2011 - ISBN 978-80-903834-6-3 Rozsah stran s. 67-72 Poč.str. 6 s. Akce The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011) Datum konání 16.12.2011-16.12.2011 Místo konání Sierra Nevada Země ES - Španělsko Typ akce WRD Jazyk dok. eng - angličtina Země vyd. CZ - Česká republika Klíč. slova efficient estimation ; a linear or nonlinear model ; distributed estimation ; Bayesian decision making Vědní obor RIV BB - Aplikovaná statistika, operační výzkum CEP GA102/08/0567 GA ČR - Grantová agentura ČR CEZ AV0Z10750506 - UTIA-B (2005-2011) Anotace The rapid development of ad-hoc wireless networks, sensor networks and similar calls for efficient estimation of common parameters of a linear or nonlinear model used to describe the operating environment. Therefore, the theory of collaborative distributed estimation has attained a very considerable focus in the past decade, however, mostly in the classical deterministic realm. We conjecture, that the consistent and versatile Bayesian decision making framework, whose applications range from the basic probability counting up to the nonlinear estimation theory, can significantly contribute to the distributed estimation theory. The limited extent of the paper allows to address the considered problem only very superficially and shortly. Therefore, we are forced to leave the rigorous approach in favor of a short survey indicating the arising possibilities appealing to the non- Bayesian literature. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2012
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