bibtype J - Journal Article
ARLID 0386933
utime 20240103201923.9
mtime 20130111235959.9
title (primary) (eng) Empirical Estimates in Optimization Problems: Survey with Special Regard to Heavy Tails and Dependent Data
specification
page_count 20 s.
serial
ARLID cav_un_epca*0293025
ISSN 1212-074X
title Bulletin of the Czech Econometric Society
volume_id 19
volume 30 (2012)
page_num 92-111
keyword Stochastic optimization
keyword empirical estimates
keyword thin and heavy tails
keyword independent and weak dependent random samples
author (primary)
ARLID cav_un_auth*0101122
name1 Kaňková
name2 Vlasta
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
institution UTIA-B
full_dept Department of Econometrics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2013/E/kankova-empirical estimates in optimization problems survey with special regard to heavy tails and dependent data.pdf
cas_special
project
project_id GAP402/10/0956
agency GA ČR
ARLID cav_un_auth*0263482
project
project_id GAP402/11/0150
agency GA ČR
ARLID cav_un_auth*0273629
project
project_id GAP402/10/1610
agency GA ČR
ARLID cav_un_auth*0263483
abstract (eng) Optimization problems depending on a probability measure correspond to many economic and finacial situations. In applications mostly the theoretical measure has to be replaced by empirical one. The paper deals with the case when distribution function with heavy tails corresponds to the theorerical measure and when empirical measure is determined by weak dependent random sample
reportyear 2013
RIV BB
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0220215
arlyear 2012
mrcbU63 cav_un_epca*0293025 Bulletin of the Czech Econometric Society 1212-074X Roč. 19 č. 30 2012 92 111