bibtype J - Journal Article
ARLID 0445817
utime 20240103210257.3
mtime 20150723235959.9
title (primary) (eng) DYNAMIC PARAMETER ESTIMATION BASED ON MINIMUM CROSS-ENTROPY METHOD FOR COMBINING INFORMATION SOURCES
specification
page_count 8 s.
media_type P
serial
ARLID cav_un_epca*0393988
ISSN 0204-9805
title Pliska Studia Mathematica Bulgarica
volume_id 24
volume 5 (2015)
page_num 181-188
keyword minimum cross-entropy principle
keyword Kullback-Leibler divergence
keyword dynamic diffusion estimation
author (primary)
ARLID cav_un_auth*0263972
name1 Sečkárová
name2 Vladimíra
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.
source
url http://library.utia.cas.cz/separaty/2015/AS/seckarova-0445817.pdf
cas_special
project
project_id SVV 260225/2015
agency GA UK
country CZ
ARLID cav_un_auth*0318139
project
project_id GA13-13502S
agency GA ČR
ARLID cav_un_auth*0292725
abstract (eng) When combining information sources, e.g. measuring devices or experts, we deal with two problems: which combining method to choose (linear combination, geometric mean) and how to measure the reliability of the sources, i.e. how to assign the weights to them. We introduce a method which overcomes such shortcomings. Proposed method, based on minimization of the Kullback-Leibler divergence with specific constraints, directly combines data, i.e. probability vectors, thus no additional step to obtain the weights is needed. The detailed description of the proposed method and a comparison with recently introduced dynamic diffusion estimation, which heavily depends on the determination of the weights, form the core of this contribution.
action
ARLID cav_un_auth*0318138
name XVI-th International Summer Conference on Probability and Statistics (ISCPS-2014)
place Pomorie
dates 21.6.-29.6.2014
country BG
reportyear 2016
RIV BB
num_of_auth 1
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0247988
cooperation
ARLID cav_un_auth*0296001
institution MFF UK
name Univerzita Karlova v Praze, Matematicko-fyzikální fakulta
country CZ
confidential S
arlyear 2015
mrcbU63 cav_un_epca*0393988 Pliska Studia Mathematica Bulgarica 0204-9805 Roč. 24 č. 5 2015 181 188