bibtype C - Conference Paper (international conference)
ARLID 0368319
utime 20240103195940.7
mtime 20111208235959.9
title (primary) (eng) Towards Distributed Bayesian Estimation A Short Note on Selected Aspects
specification
page_count 6 s.
serial
ARLID cav_un_epca*0368293
ISBN 978-80-903834-6-3
title 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)
page_num 67-72
publisher
place Prague
name Institute of Information Theory and Automation
year 2011
keyword efficient estimation
keyword a linear or nonlinear model
keyword distributed estimation
keyword Bayesian decision making
author (primary)
ARLID cav_un_auth*0242543
name1 Dedecius
name2 Kamil
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0263972
name1 Sečkárová
name2 Vladimíra
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2011/AS/dedecius-towards distributed bayesian estimation a short note on selected aspects.pdf
cas_special
project
project_id GA102/08/0567
agency GA ČR
ARLID cav_un_auth*0239566
research CEZ:AV0Z10750506
abstract (eng) 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.
action
ARLID cav_un_auth*0276749
name 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)
place Sierra Nevada
dates 16.12.2011-16.12.2011
country ES
reportyear 2012
RIV BB
num_of_auth 2
permalink http://hdl.handle.net/11104/0202699
arlyear 2011
mrcbU63 cav_un_epca*0368293 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) 978-80-903834-6-3 67 72 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