bibtype A - Abstract
ARLID 0432024
utime 20240103204649.0
mtime 20141021235959.9
title (primary) (eng) Combining Information Sources Using Minimum Cross-Entropy Principle
specification
page_count 1 s.
media_type P
serial
ARLID cav_un_epca*0433444
title Book of abstracts of the Second Bayesian Young Statisticians Meeting (BAYSM 2014)
page_num 22-22
publisher
place Vienna
name Vienna University of Economics and Business
year 2014
keyword minimum cross-entropy principle
keyword Kullback-Leibler divergence
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
share 100
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2014/AS/seckarova-0432024.pdf
cas_special
project
project_id 13-13502S
agency GA ČR
country CZ
ARLID cav_un_auth*0292725
project
project_id SVV-2014-260105
agency GA UK
country CZ
ARLID cav_un_auth*0306403
abstract (eng) Combining information sources, exploited in many areas of mathematics, has been an open problem for decades.
action
ARLID cav_un_auth*0306777
name Bayesian Young Statisticians Meeting (BAYSM 2014) /2./
place Vienna
dates 18.09.2014-19.09.2014
country AT
reportyear 2015
RIV BD
num_of_auth 1
mrcbC52 4 O 4o 20231122140438.4
presentation_type PO
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0237648
confidential S
arlyear 2014
mrcbTft \nSoubory v repozitáři: 0432024.pdf
mrcbU63 cav_un_epca*0433444 Book of abstracts of the Second Bayesian Young Statisticians Meeting (BAYSM 2014) 22 22 Vienna Vienna University of Economics and Business 2014