bibtype J - Journal Article
ARLID 0438210
utime 20240903170631.2
mtime 20150106235959.9
SCOPUS 84920609441
WOS 000348961900001
DOI 10.14736/kyb-2014-6-0849
title (primary) (eng) Bayesian nonparametric estimation of hazard rate in monotone Aalen model
specification
page_count 20 s.
media_type P
serial
ARLID cav_un_epca*0297163
ISSN 0023-5954
title Kybernetika
volume_id 50
volume 6 (2014)
page_num 849-868
publisher
name Ústav teorie informace a automatizace AV ČR, v. v. i.
keyword Aalen model
keyword Bayesian estimation
keyword MCMC
author (primary)
ARLID cav_un_auth*0257680
name1 Timková
name2 Jana
full_dept (cz) Stochastická informatika
full_dept (eng) Department of Stochastic Informatics
department (cz) SI
department (eng) SI
institution UTIA-B
garant K
share 100
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2014/SI/timkova-0438210.pdf
cas_special
abstract (eng) The paper describes a method of estimating the hazard rate of survival data following monotone Aalen regression model. The proposed approach is based on techniques which were introduced by Arjas and Gasbarra. The unknown functional parameters are assumed to be apriori piecewise constant on intervals of varying count and size. The estimates are obtained with the aid of the Gibbs sampler and its variants. The performance of the method is explored bysimulations. The results indicate that the method is applicable on small sample size datasets.
reportyear 2015
RIV BB
num_of_auth 1
mrcbC52 4 O 4o 20231122140729.8
mrcbC55 BB
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0241900
confidential S
mrcbT16-e COMPUTERSCIENCECYBERNETICS
mrcbT16-j 0.339
mrcbT16-s 0.369
mrcbT16-4 Q2
mrcbT16-B 42.435
mrcbT16-C 14.583
mrcbT16-D Q3
mrcbT16-E Q3
arlyear 2014
mrcbTft \nSoubory v repozitáři: timkova-0438210.pdf
mrcbU14 84920609441 SCOPUS
mrcbU34 000348961900001 WOS
mrcbU63 cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 50 č. 6 2014 849 868 Ústav teorie informace a automatizace AV ČR, v. v. i.