bibtype K - Conference Paper (Czech conference)
ARLID 0359099
utime 20240103195125.9
mtime 20110601235959.9
title (primary) (eng) Empirical Estimates in Stochastic Optimization: Special cases
specification
page_count 11 s.
serial
ARLID cav_un_epca*0359063
ISBN 978-80-7043-773-5
title Výpočtová ekonomie, sborník 4.semináře
page_num 9-19
publisher
place Plzeň
name Západočeská univerzita v Plzni
year 2010
editor
name1 Lukáš
name2 Ladislav
keyword stochastic programming problems
keyword L_1 norm
keyword Lipschitz property
keyword empirical estimates
keyword convergence rate
keyword exponential tails
keyword heavy tails
keyword Pareto distribution
keyword risk functional
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/2011/E/kankova-empirical estimates in stochastic optimization special cases.pdf
cas_special
project
project_id GAP402/10/0956
agency GA ČR
ARLID cav_un_auth*0263482
project
project_id GA402/07/1113
agency GA ČR
ARLID cav_un_auth*0228801
project
project_id GA402/08/0107
agency GA ČR
country CZ
ARLID cav_un_auth*0240545
project
project_id GA402/06/0990
agency GA ČR
country CZ
ARLID cav_un_auth*0215013
research CEZ:AV0Z10750506
abstract (eng) Classical optimization problems depending on a probability measure belong mostly to nonlinear deterministic optimization problems that are relatively complicated. On the other hand, these problems fulfil very often "suitable" mathematical properties guaranteing the stability (w.r.t. probability measure) and, moreover, giving a possibility to replace the "underlying" probability measure by an empirical one to obtain "good" stochastic estimates of the optimal value and the optimal solution. Properties of thess estimates have been investigated mostly for standard types of probability measures with suitable (thin) tails and independent random samples. However distributions with heavy tails correspond to many economic problems and, moreover, many applications do not correspond to the "classical" problems. The aim of the paper is, first, to try to recall stability results including also heavy tails and more general problems.
action
ARLID cav_un_auth*0271670
name Výpočtová ekonomie, 4. seminář
place Plzeň
dates 18.12.2008
country CZ
reportyear 2012
RIV BB
permalink http://hdl.handle.net/11104/0196952
arlyear 2010
mrcbU63 cav_un_epca*0359063 Výpočtová ekonomie, sborník 4.semináře 978-80-7043-773-5 9 19 Computational Economy, Proceedings of the Fourth Seminar Plzeň Západočeská univerzita v Plzni 2010
mrcbU67 Lukáš Ladislav 340